Abstract Meaning Representation (AMR) is a graph framework for representing sentence meaning
which has been the subject of considerable research in natural language processing.
This bibliography is maintained by Austin Blodgett, Shira Wein, and Nathan Schneider, based in part on this one and this one.
The 480 entries in the table below are sortable by column.
You can highlight rows by topic (click on a topic TAG in the last column).
The main topics are:
(j / join-01 :ARG0 (p / person :wiki - :name (p2 / name :op1 "Pierre" :op2 "Vinken") :age (t / temporal-quantity :quant 61 :unit (y / year))) :ARG1 (b / board :ARG1-of (h / have-org-role-91 :ARG0 p :ARG2 (d2 / director :mod (e / executive :polarity -)))) :time (d / date-entity :month 11 :day 29))
Number of papers by year and topic. (A paper with multiple topics counts toward the first.)
To suggest or update a paper, submit a pull request for this TSV file. Use the issue tracker for bug reports and feature requests.
# | Title | Authors | Venue | Year | Link(s) | Arxiv | Tags |
---|---|---|---|---|---|---|---|
1 | Semantics-Based Machine Translation with Hyperedge Replacement Grammars | Bevan Jones, Jacob Andreas, Daniel Bauer, Karl-Moritz Hermann, Kevin Knight | COLING | 2012 | |||
2 | Parsing Graphs with Hyperedge Replacement Grammars | David Chiang, Jacob Andreas, Daniel Bauer, Karl Moritz Hermann, Bevan Jones, Kevin Knight | ACL | 2013 | |||
3 | Abstract Meaning Representation for Sembanking | Laura Banarescu, Claire Bonial, Shu Cai, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Martha Palmer, Nathan Schneider | Linguistic Annotation Workshop | 2013 | |||
4 | Smatch: an Evaluation Metric for Semantic Feature Structures | Shu Cai, Kevin Knight | ACL | 2013 | |||
5 | Mapping between English Strings and Reentrant Semantic Graphs | Fabienne Braune, Daniel Bauer, Kevin Knight | LREC | 2014 | |||
6 | A Discriminative Graph-Based Parser for the Abstract Meaning Representation | J. Flanigan, S. Thomson, J. Carbonell, C. Dyer, N. Smith | ACL | 2014 | pdf, JAMR | ||
7 | Not an Interlingua, but Close: Comparison of English AMRs to Chinese and Czech | Nianwen Xue, Ondrej Bojar, Jan Hajic, Martha Palmer, Zdenka Uresova, Xiuhong Zhang | LREC | 2014 | |||
8 | Aligning English Strings with Abstract Meaning Representation Graphs | Nima Pourdamghani, Yang Gao, Ulf Hermjakob, Kevin Knight | EMNLP | 2014 | pdf, dev data, test data | ||
9 | Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers | Chuan Wang, Nianwen Xue, Sameer Pradhan | ACL | 2015 | pdf, CAMR | ||
10 | A Transition-based Algorithm for AMR Parsing | Chuan Wang, Nianwen Xue, Sameer Pradhan | NAACL | 2015 | |||
11 | Toward Abstractive Summarization Using Semantic Representations | Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh, Noah A. Smith | NAACL | 2015 | |||
12 | Graph parsing with s-graph grammars | Jonas Groschwitz, Alexander Koller, Christoph Teichmann | ACL | 2015 | |||
13 | Robust Subgraph Generation Improves Abstract Meaning Representation Parsing | Keenon Werling, Gabor Angeli, Christopher D. Manning | ACL | 2015 | |||
14 | Abstract Meaning Representation (AMR) 1.2.2 Specification | L. Banarescu, C. Bonial, S. Cai, M. Georgescu, K. Griffitt, U. Hermjakob, K. Knight, P. Koehn, M. Palmer, N. Schneider | 2015 | Guidelines | |||
15 | An AMR parser for English, French, German, Spanish and Japanese and a new AMR-annotated corpus | Lucy Vanderwende, Arul Menezes, Chris Quirk | NAACL (Demo session) | 2015 | |||
16 | Using Syntax-Based Machine Translation to Parse English into Abstract Meaning Representation | Michael Pust, Ulf Hermjakob, Kevin Knight, Daniel Marcu, Jonathan May | EMNLP | 2015 | |||
17 | Abstract Meaning Representation: a survey | Melanie Tosik | 2015 | ||||
18 | AMRICA: an AMR Inspector for Cross-language Alignments | Naomi Saphra, Adam Lopez | NAACL (Demo session) | 2015 | |||
19 | Tutorial: The Logic of AMR: Practical, Unified, Graph-Based Sentence Semantics for NLP | Nathan Schneider, Jeffrey Flanigan, Tim O’Gorman | NAACL-HLT | 2015 | Tutorial | ||
20 | Learning to Map Dependency Parses to Abstract Meaning Representations | Wei-Te Chen | ACL-IJCNLP Student Research Workshop | 2015 | |||
21 | A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing | Xiaochang Peng, Linfeng Song, Daniel Gildea | CoNLL | 2015 | |||
22 | Unsupervised Entity Linking with Abstract Meaning Representation | Xiaoman Pan, Taylor Cassidy, Ulf Hermjakob, Heng Ji, Kevin Knight | NAACL | 2015 | |||
23 | Broad-coverage CCG Semantic Parsing with AMR | Yoav Artzi, Kenton Lee, Luke Zettlemoyer | EMNLP | 2015 | |||
24 | Semantic Structure Analysis of Noun Phrases using Abstract Meaning Representation | Yuichiro Sawai, Hiroyuki Shindo, Yuji Matsumoto | ACL | 2015 | |||
25 | Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and Reasoning | Arindam Mitra, Chitta Baral | AAAI | 2016 | |||
26 | DynamicPower at SemEval-2016 Task 8: Processing syntactic parse trees with a Dynamic Semantics core | Alastair Butler | SemEval | 2016 | |||
27 | Annotating the Little Prince with Chinese AMRs | B. Li, Y. Wen, L. Bu, W. Qu, N. Xue | 10th Linguistic Annotation Workshop (LAW X) | 2016 | |||
28 | CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR Parser | Chuan Wang, Sameer Pradhan, Xiaoman Pan, Heng Ji, Nianwen Xue | SemEval | 2016 | |||
29 | Neural Shift-Reduce CCG Semantic Parsing | Dipendra Kumar Misra, Yoav Artzi | EMNLP | 2016 | pdf, Supplement | ||
30 | Abstract Meaning Representation as Linked Data | Gully A. Burns, Ulf Hermjakob, José Luis Ambite | International Semantic Web Conference Resources Track | 2016 | springer | ||
31 | RIGA at SemEval-2016 Task 8: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing Accuracy | Guntis Barzdins, Didzis Gosko | SemEval | 2016 | pdf, Eval code | ||
32 | Between a Rock and a Hard Place -- Uniform Parsing for Hyperedge Replacement DAG Grammars | H. Björklund, F. Drewes, P. Ericson | LATA | 2016 | |||
33 | Generation from Abstract Meaning Representation using Tree Transducers | J. Flanigan, C. Dyer, N. A. Smith, J. Carbonell | NAACL | 2016 | |||
34 | Noise Reduction and Targeted Exploration in Imitation Learning for Abstract Meaning Representation Parsing | J. Goodman, A. Vlachos, J. Naradowsky | ACL | 2016 | |||
35 | AMR Parsing with an Incremental Joint Model | Junsheng Zhou, Feiyu Xu, Hans Uszkoreit, Weiguang Qu, Ran Li, Yanhui Gu | EMNLP | 2016 | |||
36 | UCL+Sheffield at SemEval-2016 Task 8: Imitation learning for AMR parsing with an alpha-bound | James Goodman, Andreas Vlachos, Jason Naradowsky | SemEval | 2016 | |||
37 | CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss | Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime Carbonell | SemEval | 2016 | |||
38 | Squib: Expressive Power of Abstract Meaning Representations | Johan Bos | Computational Linguistics 42(3) | 2016 | |||
39 | The Meaning Factory at SemEval-2016 Task 8: Producing AMRs with Boxer | Johannes Bjerva, Johan Bos, Hessel Haagsma | SemEval | 2016 | |||
40 | SemEval-2016 Task 8: Meaning Representation Parsing | Jonathan May | SemEval | 2016 | |||
41 | AMR-to-text generation as a Traveling Salesman Problem | Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang, Daniel Gildea | EMNLP | 2016 | arXiv | ||
42 | ICL-HD at SemEval-2016 Task 8: Meaning Representation Parsing - Augmenting AMR Parsing with a Preposition Semantic Role Labeling Neural Network | Lauritz Brandt, David Grimm, Mengfei Zhou, Yannick Versley | SemEval | 2016 | |||
43 | Machine Comprehension Using Rich Semantic Representations | Mrinmaya Sachan, Eric Xing | ACL | 2016 | |||
44 | Generating English from Abstract Meaning Representations | Nima Pourdamghani, Kevin Knight, Ulf Hermjakob | INLG | 2016 | |||
45 | Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text | Sahil Garg, Aram Galstyan, Ulf Hermjakob, Daniel Marcu | AAAI | 2016 | arXiv | ||
46 | Neural Headline Generation on Abstract Meaning Representation | Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, Masaaki Nagata | EMNLP | 2016 | |||
47 | CLIP@UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search | Sudha Rao, Yogarshi Vyas, Hal Daumé III, Philip Resnik | SemEval | 2016 | |||
48 | CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks | William Foland, James H. Martin | SemEval | 2016 | |||
49 | UofR at SemEval-2016 Task 8: Learning Synchronous Hyperedge Replacement Grammar for AMR Parsing | Xiaochang Peng, Daniel Gildea | SemEval | 2016 | |||
50 | M2L at SemEval-2016 Task 8: AMR Parsing with Neural Networks | Yevgeniy Puzikov, Daisuke Kawahara, Sadao Kurohashi | SemEval | 2016 | |||
51 | Grammar-Based Semantic Parsing Into Graph Representations | Daniel Bauer | Ph.D. thesis, Columbia University | 2017 | |||
52 | Supervised Syntax-based Alignment between English Sentences and Abstract Meaning Representation Graphs | Chenhui Chu, Sadao Kurohashi | preprint | 2017 | arXiv | ||
53 | Getting the Most out of AMR Parsing | Chuan Wang, Nianwen Xue | EMNLP | 2017 | |||
54 | Reforming AMR | Edward Stabler | International Conference on Formal Grammar | 2017 | springer | ||
55 | Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR | Gerasimos Lampouras, Andreas Vlachos | SemEval | 2017 | |||
56 | Neural AMR: Sequence-to-Sequence Models for Parsing and Generation | Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer | ACL | 2017 | arXiv | ||
57 | Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention | Jan Buys, Phil Blunsom | SemEval | 2017 | |||
58 | Robust Incremental Neural Semantic Graph Parsing | Jan Buys, Phil Blunsom | ACL | 2017 | arXiv | ||
59 | A constrained graph algebra for semantic parsing with AMRs | Jonas Groschwitz, Meaghan Fowlie, Mark Johnson, Alexander Koller | IWCS | 2017 | |||
60 | SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation | Jonathan May, Jay Priyadarshi | SemEval | 2017 | |||
61 | UIT-DANGNT-CLNLP at SemEval-2017 Task 9: Building Scientific Concept Fixing Patterns for Improving CAMR | Khoa Nguyen, Dang Nguyen | SemEval | 2017 | |||
62 | ConvAMR: Abstract meaning representation parsing for legal document | Lai Dac Viet, Vu Trong Sinh, Nguyen Le Minh, Ken Satoh | SCIDOCA | 2017 | arXiv | ||
63 | AMR-to-text Generation with Synchronous Node Replacement Grammar | Linfeng Song, Xiaochang Peng, Yue Zhang, Zhiguo Wang, Daniel Gildea | ACL | 2017 | arXiv | ||
64 | An Incremental Parser for Abstract Meaning Representation | Marco Damonte, Shay B. Cohen, Giorgio Satta | EACL | 2017 | Parser code, Eval code | arXiv | |
65 | AMR Parsing using Stack-LSTMs | Miguel Ballesteros, Yaser Al-Onaizan | EMNLP | 2017 | arXiv | ||
66 | A Study Towards Spanish Abstract Meaning Representation | Noelia Migueles-Abraira | MSc thesis, University of the Basque Country | 2017 | |||
67 | Towards AMR-BR: A SemBank for Brazilian Portuguese language | Rafael Torres Anchiêta, Thiago Alexandre Salgueiro Pardo | LREC | 2018 | |||
68 | A rule-based AMR parser for Portuguese | Rafael Torres Anchiêta, Thiago Alexandre Salgueiro Pardo | IBERAMIA | 2018 | springer | ||
69 | RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation | Normunds Gruzitis, Didzis Gosko, Guntis Barzdins | SemEval | 2017 | |||
70 | Dealing with Co-reference in Neural Semantic Parsing | Rik van Noord, Johan Bos | Workshop on Semantic Deep Learning | 2017 | |||
71 | Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations | Rik van Noord, Johan Bos | Computational Linguistics in the Netherlands 7 | 2017 | arXiv | ||
72 | The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing | Rik van Noord, Johan Bos | SemEval | 2017 | |||
73 | Text Summarization using Abstract Meaning Representation | Shibhansh Dohare, Harish Karnick, Vivek Gupta | preprint | 2017 | arXiv | ||
74 | FORGe at SemEval-2017 Task 9: Deep sentence generation based on a sequence of graph transducers | Simon Mille, Roberto Carlini, Alicia Burga, Leo Wanner | SemEval | 2017 | |||
75 | Biomedical Event Extraction using Abstract Meaning Representation | Sudha Rao, Daniel Marcu, Kevin Knight, Hal Daumé III | BioNLP | 2017 | |||
76 | Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation | Thiago Castro Ferreira, Iacer Calixto, Sander Wubben, Emiel Krahmer | INLG | 2017 | |||
77 | Transition-Based Generation from Abstract Meaning Representations | Timo Schick | MSc thesis, Technische Universitat Dresden | 2017 | arXiv | ||
78 | Unsupervised AMR-Dependency Parse Alignment | Wei-Te Chen, Martha Palmer | EACL | 2017 | |||
79 | Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks | William Foland, James H. Martin | ACL | 2017 | |||
80 | Addressing the Data Sparsity Issue in Neural AMR Parsing | Xiaochang Peng, Chuan Wang, Daniel Gildea, Nianwen Xue | EACL | 2017 | |||
81 | Dependency and AMR Embeddings for Drug-Drug Interaction Extraction from Biomedical Literature | Yanshan Wang, Sijia Liu, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Fei Liu, Hongfang Liu | ACM-BCB | 2017 | |||
82 | World Knowledge for Abstract Meaning Representation Parsing | Charles Welch, Jonathan K. Kummerfeld, Song Feng, Rada Mihalcea | LREC | 2018 | |||
83 | Transition-Based Chinese AMR Parsing | Chuan Wang, Bin Li, Nianwen Xue | NAACL-HLT | 2018 | |||
84 | AMR Parsing as Graph Prediction with Latent Alignment | Chunchuan Lyu, Ivan Titov | ACL | 2018 | arXiv | ||
85 | Abstract Meaning Representation of Constructions: The More We Include, the Better the Representation | Claire Bonial, Bianca Badarau, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Tim O'Gorman, Martha Palmer, Nathan Schneider | LREC | 2018 | |||
86 | A Transition-Based Algorithm for Unrestricted AMR Parsing | David Vilares, Carlos Gómez-Rodríguez | NAACL-HLT | 2018 | |||
87 | Abstract Meaning Representation for Paraphrase Detection | Fuad Issa, Marco Damonte, Shay B. Cohen, Xiaohui Yan, Yi Chang | NAACL-HLT | 2018 | |||
88 | Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation | Hardy, Andreas Vlachos | EMNLP | 2018 | |||
89 | A Structured Syntax-Semantics Interface for English-AMR Alignment | Ida Szubert, Adam Lopez, Nathan Schneider | NAACL-HLT | 2018 | |||
90 | AMR dependency parsing with a typed semantic algebra | Jonas Groschwitz, Matthias Lindemann, Meaghan Fowlie, Mark Johnson, Alexander Koller | ACL | 2018 | arXiv | ||
91 | Abstract Meaning Representation for Multi-Document Summarization | Kexin Liao, Logan Lebanoff, Fei Liu | COLING | 2018 | arXiv | ||
92 | An Easier and Efficient Framework to Annotate Semantic Roles: Evidence from the Chinese AMR Corpus | Li Song, Yuan Wen, Sijia Ge, Bin Li, Junsheng Zhou, Weiguang Qu, Nianwen Xue | Workshop on Asian Language Resources | 2018 | |||
93 | A Graph-to-Sequence Model for AMR-to-Text Generation | Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea | ACL | 2018 | arXiv | ||
94 | Annotation of tense and aspect semantics for sentential AMR | Lucia Donatelli, Michael Regan, William Croft, Nathan Schneider | LAW-MWE-CxG | 2018 | |||
95 | Cross-Lingual Abstract Meaning Representation Parsing | Marco Damonte, Shay B. Cohen | NAACL-HLT | 2018 | pdf, data | ||
96 | Annotating Abstract Meaning Representations for Spanish | Noelia Migueles-Abraira, Rodrigo Agerri, Arantza Diaz de Ilarraza | LREC | 2018 | |||
97 | Named Graphs for Semantic Representation | Richard Crouch, Aikaterini-Lida Kalouli | *SEM | 2018 | |||
98 | Graph Algebraic Combinatory Categorial Grammar | Sebastian Beschke, Wolfgang Menzel | *SEM | 2018 | |||
99 | AMR Beyond the Sentence: the Multi-sentence AMR corpus | Tim O’Gorman, Michael Regan, Kira Griffitt, Martha Palmer, Ulf Hermjakob, Kevin Knight | COLING | 2018 | |||
100 | The New Propbank: Aligning Propbank with AMR through POS Unification | Tim O'Gorman, Sameer Pradhan, Martha Palmer, Julia Bonn, Kathryn Conger, James Gung | LREC | 2018 | |||
101 | An AMR Aligner Tuned by Transition-based Parser | Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu | EMNLP | 2018 | arXiv | ||
102 | Accurate SHRG-Based Semantic Parsing | Yufei Chen, Weiwei Sun, Xiaojun Wan | ACL | 2018 | |||
103 | Better Transition-Based AMR Parsing with a Refined Search Space | Zhijiang Guo, Wei Lu | EMNLP | 2018 | |||
104 | AMR Editor: A tool to build Abstract Meaning Representations | Ulf Hermjakob | manuscript | pdf, Tool | |||
105 | AMR Annotation Dictionary (maintained by Ulf Hermjakob). | Ulf Hermjakob | Tool | ||||
106 | Semantic Neural Machine Translation using AMR | Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, Jinsong Su | TACL | 2019 | arXiv | ||
107 | Factorising AMR generation through syntax | Kris Cao, Stephen Clark | NAACL | 2019 | arXiv | ||
108 | Structural Neural Encoders for AMR-to-text Generation | Marco Damonte, Shay B. Cohen | NAACL | 2019 | arXiv | ||
109 | Automatic Accuracy Prediction for AMR Parsing | Juri Opitz, Anette Frank | *SEM | 2019 | arXiv | ||
110 | A partially rule-based approach to AMR generation | Emma Manning | NAACL SRW | 2019 | |||
111 | SemBleu: A robust metric for AMR parsing evaluation | Linfeng Song, Daniel Gildea | ACL | 2019 | arXiv | ||
112 | AMR parsing as sequence-to-graph transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | ACL | 2019 | arXiv | ||
113 | Ordered Tree Decomposition for HRG Rule Extraction | Daniel Gildea, Giorgio Satta, Xiaochang Peng | Computational Linguistics 45(2) | 2019 | |||
114 | Towards a General Abstract Meaning Representation Corpus for Brazilian Portuguese | Marco Antonio Sobrevilla Cabezudo, Thiago Alexandre Salgueiro Pardo | Linguistic Annotation Workshop | 2019 | |||
115 | Augmenting Abstract Meaning Representation for Human-Robot Dialogue | Claire Bonial, Lucia Donatelli, Stephanie M. Lukin, Stephen Tratz, Ron Artstein, David Traum, Clare R. Voss | Designing Meaning Representations Workshop | 2019 | |||
116 | Ellipsis in Chinese AMR Corpus | Yihuan Liu, Bin Li, Peiyi Yan, Li Song, Weiguang Qu | Designing Meaning Representations Workshop | 2019 | |||
117 | Copula and Case-Stacking Annotations for Korean AMR | Hyonsu Choe, Jiyoon Han, Hyejin Park, Hansaem Kim | Designing Meaning Representations Workshop | 2019 | |||
118 | Modeling Quantification and Scope in Abstract Meaning Representations | James Pustejovsky, Ken Lai, Nianwen Xue | Designing Meaning Representations Workshop | 2019 | |||
119 | A Case Study on Meaning Representation for Vietnamese | Ha Linh, Huyen Nguyen | Designing Meaning Representations Workshop | 2019 | |||
120 | Parsing Meaning Representations: Is Easier Always Better? | Zi Lin, Nianwen Xue | Designing Meaning Representations Workshop | 2019 | |||
121 | Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning | Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros | ACL | 2019 | |||
122 | Enhancing AMR-to-Text Generation with Dual Graph Representations | Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych | EMNLP | 2019 | arXiv | ||
123 | Broad-Coverage Semantic Parsing as Transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | EMNLP | 2019 | arXiv | ||
124 | AMR Normalization for Fairer Evaluation | Michael Wayne Goodman | preprint | 2019 | arXiv | ||
125 | Modeling Graph Structure in Transformer for Better AMR-to-Text Generation | Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou | EMNLP | 2019 | arXiv | ||
126 | Modeling Source Syntax and Semantics for Neural AMR Parsing | DongLai Ge, Junhui Li, Muhua Zhu, Shoushan Li | IJCAI | 2019 | |||
127 | Core Semantic First: A Top-down Approach for AMR Parsing | Deng Cai, Wai Lam | EMNLP | 2019 | arXiv | ||
128 | Verbalizing AMR Structures | Guy Lapalme | Manuscript | 2019 | pdf, code, demo | ||
129 | Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations | Marco Antonio Sobrevilla Cabezudo, Simon Mille, Thiago Pardo | Multilingual Surface Realisation Workshop | 2019 | |||
130 | AMR-to-Text Generation with Cache Transition Systems | Lisa Jin, Daniel Gildea | preprint | 2019 | arXiv | ||
131 | Exploring Graph-Algebraic CCG Combinators for Syntactic-Semantic AMR Parsing | Sebastian Beschke | RANLP | 2019 | |||
132 | Graph-to-Graph Meaning Representation Transformations for Human-Robot Dialogue | Mitchell Abrams, Claire Bonial, Lucia Donatelli | SCiL | 2020 | |||
133 | AMR Similarity Metrics from Principles | Juri Opitz, Letitia Parcalabescu, Anette Frank | TACL | 2020 | pdf, code | arXiv | |
134 | A Human Evaluation of AMR-to-English Generation Systems | Emma Manning, Shira Wein, Nathan Schneider | COLING | 2020 | arXiv | ||
135 | Exploring Probabilistic Soft Logic as a framework for integrating top-down and bottom-up processing of language in a task context | Johannes Dellert | preprint | 2020 | arXiv | ||
136 | Graph Transformer for Graph-to-Sequence Learning | Deng Cai, Wai Lam | AAAI | 2020 | arXiv | ||
137 | AMR Parsing via Graph-Sequence Iterative Inference | Deng Cai, Wai Lam | ACL | 2020 | arXiv | ||
138 | Understanding and Generating Language with Abstract Meaning Representation | Marco Damonte | Ph.D. thesis, University of Edinburgh | 2020 | |||
139 | Methods for taking semantic graphs apart and putting them back together again | Jonas Groschwitz | Ph.D. thesis, Saarland University and Macquarie University | 2019 | |||
140 | Parsing and Generation for the Abstract Meaning Representation | Jeffrey Flanigan | Ph.D. thesis, Carnegie Mellon University | 2018 | |||
141 | Abstract Meaning Representation Parsing | Chuan Wang | Ph.D. thesis, Brandeis University | 2018 | |||
142 | Abstract Meaning Representation Parsing with Rich Linguistic Features | Wei-Te Chen | Ph.D. thesis, University of Colorado Boulder | 2017 | |||
143 | Bringing together computational and linguistic models of implicit role interpretation | Timothy O'Gorman | Ph.D. thesis, University of Colorado Boulder | 2019 | |||
144 | Construct a sense-frame aligned predicate lexicon for Chinese AMR corpus | Li Song, Yuling Dai, Yihuan Liu, Bin Li, Weiguang Qu | LREC | 2020 | |||
145 | Dialogue-AMR: Abstract Meaning Representation for dialogue | Claire Bonial, Lucia Donatelli, Mitchell Abrams, Stephanie M. Lukin, Stephen Tratz, Matthew Marge, Ron Artstein, David Traum, Clare Voss | LREC | 2020 | |||
146 | Spatial AMR: Expanded spatial annotation in the context of a grounded Minecraft corpus | Julia Bonn, Martha Palmer, Zheng Cai, Kristin Wright-Bettner | LREC | 2020 | |||
147 | From spatial relations to spatial configurations | Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Zheng Cai, Martha Palmer, Dan Roth | LREC | 2020 | |||
148 | AMR Parsing with Latent Structural Information | Qiji Zhou, Yue Zhang, Donghong Ji, Hao Tang | ACL | 2020 | |||
149 | GPT-too: A language-model-first approach for AMR-to-text generation | Manuel Mager, Ramón Fernandez Astudillo, Tahira Naseem, Md Arafat Sultan, Young-Suk Lee, Radu Florian, Salim Roukos | ACL | 2020 | pdf, code | arXiv | |
150 | Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks | Yanbin Zhao, Lu Chen, Zhi Chen, Ruisheng Cao, Su Zhu, Kai Yu | ACL | 2020 | |||
151 | AMR quality rating with a lightweight CNN | Juri Opitz | AACL | 2020 | arXiv | ||
152 | Graphs with Multiple Sources per Vertex | Martin van Harmelen, Jonas Groschwitz | preprint | 2020 | arXiv | ||
153 | Penman: An Open-Source Library and Tool for AMR Graphs | Michael Wayne Goodman | ACL (Demo session) | 2020 | |||
154 | AMR-To-Text Generation with Graph Transformer | Tianming Wang, Xiaojun Wan, Hanqi Jin | TACL | 2020 | |||
155 | Better AMR-to-text generation with graph structure reconstruction | Tianming Wang, Xiaojun Wan, Shaowei Yao | IJCAI-PRICAI | 2020 | |||
156 | Graph-to-Sequence Learning using Gated Graph Neural Networks | Daniel Beck, Gholamreza Haffari, Trevor Cohn | ACL | 2018 | pdf, code | arXiv | |
157 | MRP 2019: Cross-Framework Meaning Representation Parsing | Stephan Oepen, Omri Abend, Jan Hajic, Daniel Hershcovich, Marco Kuhlmann, Tim O’Gorman, Nianwen Xue, Jayeol Chun, Milan Straka, Zdenka Uresova | CoNLL | 2019 | |||
158 | Investigating Pretrained Language Models for Graph-to-Text Generation | Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, Iryna Gurevych | preprint | 2020 | arXiv | ||
159 | Fast semantic parsing with well-typedness guarantees | Matthias Lindemann, Jonas Groschwitz, Alexander Koller | EMNLP | 2020 | arXiv | ||
160 | Improving AMR Parsing with Sequence-to-Sequence Pre-training | Dongqin Xu, Junhui Li, Muhua Zhu, Min Zhang, Guodong Zhou | EMNLP | 2020 | arXiv | ||
161 | Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR | Juri Opitz, Anette Frank | EACL | 2021 | arXiv | ||
162 | Online Back-Parsing for AMR-to-Text Generation | Xuefeng Bai, Linfeng Song, Yue Zhang | EMNLP | 2020 | arXiv | ||
163 | Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation | Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing | EMNLP | 2020 | arXiv | ||
164 | Pushing the Limits of AMR Parsing with Self-Learning | Young-Suk Lee, Ramón Fernandez Astudillo, Tahira Naseem, Revanth Gangi Reddy, Radu Florian, Salim Roukos | Findings of EMNLP | 2020 | pdf, code | arXiv | |
165 | Transition-based Parsing with Stack-Transformers | Ramón Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian | Findings of EMNLP | 2020 | pdf, code | arXiv | |
166 | XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques | Rexhina Blloshmi, Rocco Tripodi, Roberto Navigli | EMNLP | 2020 | |||
167 | A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing | Chunchuan Lyu, Shay B. Cohen, Ivan Titov | preprint | 2020 | arXiv | ||
168 | I Know What You Asked: Graph Path Learning using AMR for Commonsense Reasoning | Jungwoo Lim, Dongsuk Oh, Yoonna Jang, Kisu Yang, Heuiseok Lim | COLING | 2020 | arXiv | ||
169 | Multilingual AMR-to-Text Generation | Angela Fan, Claire Gardent | EMNLP | 2020 | |||
170 | Semantically Inspired AMR Alignment for the Portuguese Language | Rafael Anchiêta, Thiago Pardo | EMNLP | 2020 | |||
171 | The Role of Reentrancies in Abstract Meaning Representation Parsing | Marco Damonte, Ida Szubert, Shay B. Cohen, Mark Steedman | Findings of EMNLP | 2020 | |||
172 | MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing | Stephan Oepen, Omri Abend, Lasha Abzianidze, Johan Bos, Jan Hajic, Daniel Hershcovich, Bin Li, Tim O’Gorman, Nianwen Xue, Daniel Zeman | CoNLL | 2020 | |||
173 | Hitachi at MRP 2020: Text-to-Graph-Notation Transducer | Hiroaki Ozaki, Gaku Morio, Yuta Koreeda, Terufumi Morishita, Toshinori Miyoshi | CoNLL | 2020 | |||
174 | ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN | David Samuel, Milan Straka | CoNLL | 2020 | |||
175 | HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser | Longxu Dou, Yunlong Feng, Yuqiu Ji, Wanxiang Che, Ting Liu | CoNLL | 2020 | |||
176 | HUJI-KU at MRP 2020: Two Transition-based Neural Parsers | Ofir Arviv, Ruixiang Cui, Daniel Hershcovich | CoNLL | 2020 | |||
177 | JBNU at MRP 2020: AMR Parsing Using a Joint State Model for Graph-Sequence Iterative Inference | Seung-Hoon Na, Jinwoo Min | CoNLL | 2020 | |||
178 | Generalized Shortest-Paths Encoders for AMR-to-Text Generation | Lisa Jin, Daniel Gildea | COLING | 2020 | |||
179 | Predicting Coreference in Abstract Meaning Representations | Tatiana Anikina, Alexander Koller, Michael Roth | Computational Models of Reference, Anaphora and Coreference Workshop | 2020 | |||
180 | A Continuation Semantics for Abstract Meaning Representation | Kenneth Lai, Lucia Donatelli, James Pustejovsky | Designing Meaning Representations Workshop | 2020 | |||
181 | Separating Argument Structure from Logical Structure in AMR | Johan Bos | Designing Meaning Representations Workshop | 2020 | arXiv | ||
182 | Building Korean Abstract Meaning Representation Corpus | Hyonsu Choe, Jiyoon Han, Hyejin Park, Tae Hwan Oh, Hansaem Kim | Designing Meaning Representations Workshop | 2020 | |||
183 | Cross-lingual annotation: a road map for low- and no-resource languages | Meagan Vigus, Jens E. L. Van Gysel, Tim O’Gorman, Andrew Cowell, Rosa Vallejos, William Croft | Designing Meaning Representations Workshop | 2020 | |||
184 | InfoForager: Leveraging Semantic Search with AMR for COVID-19 Research | Claire Bonial, Stephanie M. Lukin, David Doughty, Steven Hill, Clare Voss | Designing Meaning Representations Workshop | 2020 | |||
185 | One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline | Michele Bevilacqua, Rexhina Blloshmi, Roberto Navigli | AAAI | 2021 | pdf, code | ||
186 | Leveraging Non-Specialists for Accurate and Time Efficient AMR Annotation | Mary Martin, Cecilia Mauceri, Martha Palmer, Christoffer Heckman | Citizen Linguistics in Language Resource Development Workshop | 2020 | |||
187 | Structural Adapters in Pretrained Language Models for AMR-to-text Generation | Leonardo F. R. Ribeiro, Yue Zhang, Iryna Gurevych | preprint | 2021 | arXiv | ||
188 | Promoting Graph Awareness in Linearized Graph-to-Text Generation | Alexander Hoyle, Ana Marasović, Noah Smith | preprint | 2020 | arXiv | ||
189 | Parsing Indonesian Sentence into Abstract Meaning Representation using Machine Learning Approach | Adylan Roaffa Ilmy, Masayu Leylia Khodra | preprint | 2021 | arXiv | ||
190 | AMR Parsing with Action-Pointer Transformer | Jiawei Zhou, Tahira Naseem, Ramón Fernandez Astudillo, Radu Florian | NAACL-HLT | 2021 | arXiv | ||
191 | Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments | Austin Blodgett, Nathan Schneider | ACL-IJCNLP | 2021 | data/code, pdf | arXiv | |
192 | Builder, we have done it: Evaluating & Extending Dialogue-AMR NLU Pipeline for Two Collaborative Domains | Claire Bonial, Mitchell Abrams, David Traum, Clare Voss | IWCS | 2021 | |||
193 | Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing | Yitao Cai, Zhe Lin, Xiaojun Wan | Findings of ACL | 2021 | arXiv | ||
194 | Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing | Sarah Uhrig, Yoalli Rezepka Garcia, Juri Opitz, Anette Frank | IWPT | 2021 | arXiv | ||
195 | HuRIC: a Human Robot Interaction Corpus | Emanuele Bastianelli, Giuseppe Castellucci, Danilo Croce, Luca Iocchi, Roberto Basili, Daniele Nardi | LREC | 2014 | |||
196 | Character-based Neural Semantic Parsing | Rik van Noord | Ph.D. thesis, University of Groningen | 2021 | |||
197 | An Improved Approach for Semantic Graph Composition with CCG | Austin Blodgett, Nathan Schneider | IWCS | 2019 | arXiv | ||
198 | Improving Event Detection with Abstract Meaning Representation | Xiang Li, Thien Huu Nguyen, Kai Cao, Ralph Grishman | Workshop on Computing News Storylines | 2015 | |||
199 | Abstract Meaning Representation Guided Graph Encoding and Decoding for Joint Information Extraction | Zixuan Zhang, Heng Ji | NAACL | 2021 | |||
200 | Multitask Parsing Across Semantic Representations | Daniel Hershcovich, Omri Abend, Ari Rappoport | ACL | 2018 | |||
201 | Abstract meaning representation for legal documents: an empirical research on a human-annotated dataset | Sinh Trong Vu, Minh Le Nguyen, Ken Satoh | Artificial Intelligence and Law | 2021 | |||
202 | An empirical evaluation of AMR parsing for legal documents | Sinh Vu Trong, Minh Nguyen Le | preprint | 2018 | arXiv | ||
203 | Levi Graph AMR Parser using Heterogeneous Attention | Han He, Jinho D. Choi | IWPT | 2021 | arXiv | ||
204 | Semantic Representation for Dialogue Modeling | Xuefeng Bai, Yulong Chen, Linfeng Song, Yue Zhang | ACL | 2021 | |||
205 | Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing | Jiawei Zhou, Tahira Naseem, Ramón Fernandez Astudillo, Young-Suk Lee, Radu Florian, Salim Roukos | EMNLP | 2021 | |||
206 | JAMRED: a Japanese abstract meaning representation editor | Werner Winiwarter | iiWAS | 2015 | |||
207 | Improving Neural Machine Translation with AMR Semantic Graphs | Long H. B. Nguyen , Viet H. Pham, Dien Dinh | Mathematical Problems in Engineering | 2021 | |||
208 | Designing a Uniform Meaning Representation for Natural Language Processing | Jens E. L. Van Gysel, Meagan Vigus, Jayeol Chun, Kenneth Lai, Sarah Moeller, Jiarui Yao, Tim O’Gorman, Andrew Cowell, William Croft, Chu-Ren Huang, Jan Hajič, James H. Martin, Stephan Oepen, Martha Palmer, James Pustejovsky, Rosa Vallejos, Nianwen Xue | Künstliche Intelligenz | 2021 | |||
209 | Broad-Coverage Semantic Parsing as Transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | EMNLP-IJCNLP | 2019 | arXiv | ||
210 | Bootstrapping Multilingual AMR with Contextual Word Alignments | Janaki Sheth, Young-Suk Lee, Ramón Fernandez Astudillo, Tahira Naseem, Radu Florian, Salim Roukos, Todd Ward | EACL | 2021 | arXiv | ||
211 | ASQ: Automatically Generating Question-Answer Pairs using AMRs | Geetanjali Rakshit, Jeffrey Flanigan | preprint | 2021 | arXiv | ||
212 | The State of the Art in Semantic Representation | Omri Abend, Ari Rappoport | ACL | 2017 | |||
213 | SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation | Luigi Procopio, Rocco Tripodi, Roberto Navigli | NAACL | 2021 | |||
214 | Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing | Yuki Yamamoto, Yuji Matsumoto, Taro Watanabe | *SEM | 2021 | |||
215 | Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation | Zixuan Zhang, Nikolaus Parulian, Heng Ji, Ahmed S. Elsayed, Skatje Myers, Martha Palmer | ACL | 2021 | |||
216 | Incorporating EDS Graph for AMR Parsing | Ziyi Shou, Fangzhen Lin | *SEM | 2021 | |||
217 | End-to-End AMR Coreference Resolution | Qiankun Fu, Linfeng Song, Wenyu Du, Yue Zhang | ACL | 2021 | |||
218 | XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation | Dongqin Xu, Junhui Li, Muhua Zhu, Min Zhang, Guodong Zhou | ACL | 2021 | |||
219 | Learning compositional structures for semantic graph parsing | Jonas Groschwitz, Meaghan Fowlie, Alexander Koller | SPNLP | 2021 | arXiv | ||
220 | Weisfeiler-Leman in the BAMBOO: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity | Juri Opitz, Angel Daza, Anette Frank | TACL | 2021 | pdf, code | arXiv | |
221 | Latent Tree Decomposition Parsers for AMR-to-Text Generation | Lisa Jin, Daniel Gildea | preprint | 2021 | arXiv | ||
222 | Tree Decomposition Attention for AMR-to-Text Generation | Lisa Jin, Daniel Gildea | preprint | 2021 | arXiv | ||
223 | Automatic Comprehension of Geometry Problems using AMR Parser | Anca-Elena Iordan | International Conference on Software Engineering and Knowledge Engineering | 2021 | |||
224 | Semantic-Based Opinion Summarization | Marcio Lima Inácio, Thiago Alexandre Salgueiro Pardo | RANLP | 2021 | pdf, code | ||
225 | Hierarchical Curriculum Learning for AMR Parsing | Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui | preprint | 2021 | arXiv | ||
226 | An analysis of document graph construction methods for AMR summarization | Fei-Tzin Lee, Chris Kedzie, Nakul Verma, Kathleen McKeown | preprint | 2021 | arXiv | ||
227 | Comparing Czech and English AMRs | Z. Uresova, J. Hajic, O. Bojar | Workshop on Lexical and Grammatical Resources for Language Processing | 2014 | |||
228 | Graph-to-Graph Translations To Augment Abstract Meaning Representation Tense And Aspect | Mollie F. Bakal | B.S. Thesis University of Michigan | 2021 | |||
229 | Representing Implicit Positive Meaning of Negated Statements in AMR | Katharina Stein, Lucia Donatelli | The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop | 2021 | |||
230 | Classifying Divergences in Cross-lingual AMR Pairs | Shira Wein, Nathan Schneider | The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop | 2021 | pdf, data | ||
231 | Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope | Gregor Williamson, Patrick Elliott, Yuxin Ji | The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop | 2021 | |||
232 | Referenceless Parsing-Based Evaluation of AMR-to-English Generation | Emma Manning, Nathan Schneider | Eval4NLP Workshop | 2021 | |||
233 | Learning to Transpile AMR into SPARQL | Mihaela Bornea, Ramón Fernandez Astudillo, Tahira Naseem, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Pavan Kapanipathi, Radu Florian, Salim Roukos | preprint | 2021 | arXiv | ||
234 | Maximum Bayes Smatch Ensemble Distillation for AMR Parsing | Young-Suk Lee, Ramón Fernandez Astudillo, Thanh Lam Hoang, Tahira Naseem, Radu Florian, Salim Roukos | NAACL | 2022 | arXiv | ||
235 | DocAMR: Multi-Sentence AMR Representation and Evaluation | Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, Tim O'Gorman, Young-Suk Lee, Jeffrey Flanigan, Ramón Fernandez Astudillo, Radu Florian, Salim Roukos, Nathan Schneider | NAACL | 2022 | arXiv | ||
236 | SEMA: an Extended Semantic Evaluation Metric for AMR | Rafael T. Anchieta, Marco A. S. Cabezudo, Thiago A. S. Pardo | CICLing | 2019 | |||
237 | How Curriculum Learning Performs on AMR Parsing | Minh-Quan Bui, Vu Tran, Ha-Thanh Nguyen, Tran-Binh Dang, Le-Minh Nguyen | 13th International Conference on Knowledge and Systems Engineering (KSE) | 2021 | |||
238 | From Requirements as AMR-like Graphs to Automata-Based Reasoning | Aurélien Lamercerie, Annie Foret | [Research Report] Université de Rennes | 2021 | |||
239 | StreamSide: A Fully-Customizable Open-Source Toolkit for Efficient Annotation of Meaning Representations | Jinho D. Choi, Gregor Williamson | preprint | 2021 | arXiv | ||
240 | AMR-CNN: Abstract Meaning Representation with Convolution Neural Network for Toxic Content Detection | Ermal Elbasani, Jeong-Dong Kim | Journal of Web Engineering | 2022 | |||
241 | Ensembling Graph Predictions for AMR Parsing | Hoang Thanh Lam, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa Lopez, Ramon Fernandez Astudillo | NeurIPS | 2021 | pdf, code | arXiv | |
242 | BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers | Roberto Navigli, Rexhina Blloshmi, Abelardo Carlos Martínez Lorenzo | AAAI | 2022 | |||
243 | Graph Pre-training for AMR Parsing and Generation | Xuefeng Bai, Yulong Chen, Yue Zhang | ACL | 2022 | pdf, code | arXiv | |
244 | Polynomial Graph Parsing with Non-Structural Reentrancies | Johanna Björklund, Frank Drewes, Anna Jonsson | preprint | 2021 | arXiv | ||
245 | Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering | Weiwen Xu, Huihui Zhang, Deng Cai and Wai Lam | Findings of ACL: ACL-IJCNLP | 2021 | |||
246 | Spanish Abstract Meaning Representation: Annotation of a General Corpus | Shira Wein, Lucia Donatelli, Ethan Ricker, Calvin Engstrom, Alex Nelson, Nathan Schneider | NEJLT | 2022 | arXiv | ||
247 | Persian Abstract Meaning Representation | Reza Takhshid, Razieh Shojaei, Zahra Azin, Mohammad Bahrani | preprint | 2022 | arXiv | ||
248 | Towards Turkish Abstract Meaning Representation | Zahra Azin, Gülşen Eryiğit | ACL Student Research Workshop | 2019 | |||
249 | Abstract meaning representation of Turkish | Elif Oral, Ali Acar, Gülşen Eryiğit | Natural Language Engineering | 2022 | |||
250 | FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations | Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal | preprint | 2022 | arXiv | ||
251 | DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations | Sarik Ghazarian, Nuan Wen, Aram Galstyan, Nanyun Peng | ACL | 2022 | arXiv | ||
252 | Dialogue Meaning Representation for Task-Oriented Dialogue Systems | Xiangkun Hu, Junqi Dai, Hang Yan, Yi Zhang, Qipeng Guo, Xipeng Qiu, Zheng Zhang | preprint | 2022 | arXiv | ||
253 | ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs | Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang | Findings of NAACL | 2022 | arXiv | ||
254 | AMR Alignment for Morphologically-rich and Pro-drop Languages | K. Elif Oral, Gülşen Eryiğit | ACL Student Research Workshop | 2022 | |||
255 | AMR-DA: Data Augmentation by Abstract Meaning Representation | Ziyi Shou, Yuxin Jiang, Fangzhen Lin | Findings of ACL | 2022 | |||
256 | Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution | Irene Li, Linfeng Song, Kun Xu, Dong Yu | ACL | 2022 | |||
257 | Inducing and Using Alignments for Transition-based AMR Parsing | Andrew Drozdov, Jiawei Zhou, Radu Florian, Andrew McCallum, Tahira Naseem, Yoon Kim, Ramon Fernandez Astudillo | NAACL | 2022 | arXiv | ||
258 | A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction | Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui | NAACL | 2022 | arXiv | ||
259 | Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation | Lisa Jin, Daniel Gildea | ACL | 2022 | |||
260 | RepGraph: Visualising and Analysing Meaning Representation Graphs | Jaron Cohen, Roy Cohen, Edan Toledo, Jan Buys | EMNLP (Demo session) | 2021 | |||
261 | Multilingual AMR Parsing with Noisy Knowledge Distillation | Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam | Findings of EMNLP | 2021 | |||
262 | Stacked AMR Parsing with Silver Data | Qingrong Xia, Zhenghua Li, Rui Wang, Min Zhang | Findings of EMNLP | 2021 | |||
263 | Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation | Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang, Iryna Gurevych | EMNLP | 2021 | |||
264 | Theoretical and Practical Issues in the Semantic Annotation of Four Indigenous Languages | Jens E. L. Van Gysel, Meagan Vigus, Lukas Denk, Andrew Cowell, Rosa Vallejos, Tim O’Gorman, William Croft | The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop | 2021 | |||
265 | AutoAspect: Automatic Annotation of Tense and Aspect for Uniform Meaning Representations | Daniel Chen, Martha Palmer, Meagan Vigus | The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop | 2021 | |||
266 | UMR-Writer: A Web Application for Annotating Uniform Meaning Representations | Jin Zhao, Nianwen Xue, Jens Van Gysel, Jinho D. Choi | EMNLP (Demo session) | 2021 | |||
267 | Explainable Unsupervised Argument Similarity Rating with Abstract Meaning Representation and Conclusion Generation | Juri Opitz, Philipp Heinisch, Philipp Wiesenbach, Philipp Cimiano, Anette Frank | Argument Mining Workshop | 2021 | |||
268 | A tale of four parsers: methodological reflections on diagnostic evaluation and in‐depth error analysis for meaning representation parsing | Maja Buljan, Joakim Nivre, Stephan Oepen, Lilja Øvrelid | Language Resources and Evaluation | 2022 | |||
269 | Effect of Source Language on AMR Structure | Shira Wein, Wai Ching Leung, Yifu Mu, Nathan Schneider | The 16th Linguistic Annotation Workshop (LAW-XVI) | 2022 | |||
270 | How much of UCCA can be predicted from AMR? | Siyana Pavlova, Maxime Amblard, Bruno Guillaume | ISA-18 | 2022 | |||
271 | Automatic Enrichment of Abstract Meaning Representations | Yuxin Ji, Gregor Williamson, Jinho D. Choi | The 16th Linguistic Annotation Workshop (LAW-XVI) | 2022 | |||
272 | Guiding transformer to generate graph structure for AMR parsing | Runliang Niu, Qi Wang | International Conference on Neural Networks, Information, and Communication Engineering (NNICE) | 2022 | |||
273 | Enhancements on a Pipeline Approach for Abstract Meaning Representation Parsing | Alexandru Frasie, Nicoleta-Teodora Vezan, Georgiana Marian, Florin Macicasan, Camelia Lemnaru | Communications in Computer and Information Science book series (CCIS,volume 1600) | 2022 | |||
274 | Transition-based Abstract Meaning Representation Parsing with Contextual Embeddings | Yichao Liang | preprint | 2022 | arXiv | ||
275 | Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering | Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle | IJCAI | 2022 | arXiv | ||
276 | Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers | Changmao Li, Jeffrey Flanigan | 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP) | 2022 | arXiv | ||
277 | Graph Querying for Semantic Annotations | Maxime Amblard, Bruno Guillaume, Siyana Pavlova, Guy Perrier | 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation (ISA) | 2022 | |||
278 | Dialogue-AMR Parsing Pipeline | Mitchell Abrams, Claire Bonial, Clare Voss | DEVCOM ARL Public Release | 2022 | |||
279 | SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable AMR Meaning Features | Juri Opitz, Anette Frank | AACL | 2022 | arXiv | ||
280 | Multilingual Abstract Meaning Representation for Celtic Languages | Johannes Heinecke, Anastasia Shimorina | The 4th Celtic Language Technology Workshop (CLTW 4) | 2022 | |||
281 | Cross-lingual AMR Aligner: Paying Attention to Cross-Attention | Pere-Lluís Huguet Cabot, Abelardo Carlos Martínez Lorenzo, Roberto Navigli | Findings of ACL | 2023 | arXiv | ||
282 | Align-smatch: A Novel Evaluation Method for Chinese Abstract Meaning Representation Parsing based on Alignment of Concept and Relation | Liming Xiao, Bin Li, Zhixing Xu, Kairui Huo, Minxuan Feng, Junsheng Zhou, Weiguang Qu | LREC | 2022 | |||
283 | Abstract Meaning Representation for Gesture | Richard Brutti, Lucia Donatelli, Kenneth Lai, James Pustejovsky | LREC | 2022 | |||
284 | Universal Semantic Annotator: the First Unified API for WSD, SRL and Semantic Parsing | Riccardo Orlando, Simone Conia, Stefano Faralli, Roberto Navigli | LREC | 2022 | |||
285 | Scene Graph Parsing via Abstract Meaning Representation in Pre-trained Language Models | Woo Suk Choi, Yu-Jung Heo, Dharani Punithan, Byoung-Tak Zhang | 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP) | 2022 | |||
286 | Sequence-to-sequence AMR Parsing with Ancestor Information | Chen Yu, Daniel Gildea | ACL | 2022 | |||
287 | Text summarization based on semantic graphs: An abstract meaning representation graph-to-text deep learning approach | Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis | preprint | 2022 | arXiv | ||
288 | The AMR-PT corpus and the semantic annotation of challenging sentences from journalistic and opinion texts | Marcio Lima Inácio, Marco Antonio Sobrevilla Cabezudo, Renata Ramisch, Ariani Di Felippo, Thiago Alexandre Salgueiro Pardo | preprint | 2022 | arXiv | ||
289 | Accounting for Language Effect in the Evaluation of Cross-lingual AMR Parsers | Shira Wein, Nathan Schneider | COLING | 2022 | |||
290 | BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning | Ziming Cheng, Zuchao Li, Hai Zhao | COLING | 2022 | |||
291 | AMRTVSumm: AMR-augmented Hierarchical Network for TV Transcript Summarization | Yilun Hua, Zhaoyuan Deng, Zhijie Xu | Workshop on Automatic Summarization for Creative Writing (CreativeSumm) | 2022 | |||
292 | Semantic-based Pre-training for Dialogue Understanding | Xuefeng Bai, Linfeng Song, Yue Zhang | COLING | 2022 | |||
293 | Cross-domain Generalization for AMR Parsing | Xuefeng Bai, Seng Yang, Leyang Cui, Linfeng Song, Yue Zhang | EMNLP | 2022 | arXiv | ||
294 | Universal Semantic Annotator | Roberto Navigli, Riccardo Orlando, Cesare Campagnano, Simone Conia | European Language Grid | 2022 | |||
295 | Better Smatch = Better Parser? AMR evaluation is not so simple anymore | Juri Opitz, Anette Frank | Eval4NLP | 2022 | |||
296 | A Tour of Explicit Multilingual Semantics: Word Sense Disambiguation, Semantic Role Labeling and Semantic Parsing | Roberto Navigli, Edoardo Barba, Simone Conia, Rexhina Blloshmi | AACL-IJCNLP (Tutorial) | 2022 | |||
297 | A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating | Laura Zeidler, Juri Opitz, Anette Frank | *SEM | 2022 | |||
298 | The Joint Training of Transition-Based AMR Parser | Guangxuan Xu | MSc thesis, University of California Los Angeles | 2022 | |||
299 | An in-depth look at Euclidean disk embeddings for structure preserving parsing | Federico Fancellu, Lan Xiao, Allan Jepson, Afsaneh Fazly | BlackboxNLP | 2021 | |||
300 | KnowUREnvironment: An Automated Knowledge Graph for Climate Change and Environmental Issues | Md Saiful Islam, Adiba Proma, Yilin Zhou, Syeda Nahida Akter, Caleb Wohn, Ehsan Hoque | AAAI Fall Symposium | 2022 | pdf, code | ||
301 | Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation | Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam | EMNLP | 2022 | code, paper | arXiv | |
302 | Semantic Similarity as a Window into Vector- and Graph-Based Metrics | Wai Ching Leung, Shira Wein, Nathan Schneider | Workshop on Natural Language Generation, Evaluation, and Metrics (GEM) | 2022 | |||
303 | T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation | Anubhav Jangra, Preksha Nema, Aravindan Raghuveer | EMNLP | 2022 | |||
304 | Can AMR Assist Legal and Logical Reasoning? | Nikolaus Schrack, Ruixiang Cui, Hugo López, Daniel Hershcovich | Findings of EMNLP | 2022 | |||
305 | Strictly Breadth-First AMR Parsing | Chen Yu, Daniel Gildea | preprint | 2022 | arXiv | ||
306 | Comparison of Cross-lingual Strategies for AMR-to- Brazilian Portuguese Generation | Marco Antonio Sobrevilla Cabezudo, Rafael Torres Anchiêta, Thiago Alexandre Salgueiro Pardo | preprint | 2023 | arXiv | ||
307 | Graph Convolutional Encoders for Syntax-Aware AMR Parsing | Benjamin Rozonoyer | MSc thesis, Brandeis University | 2021 | |||
308 | Contextualized Formula Search Using Math Abstract Meaning Representation | Behrooz Mansouri, Douglas W. Oard, Richard Zanibbi | CIKM | 2022 | arXiv | ||
309 | Exploring a POS-based Two-stage Approach for Improving Low-Resource AMR-to-Text Generation | Marco Antonio Sobrevilla Cabezudo, Thiago Pardo | Workshop on Natural Language Generation, Evaluation, and Metrics (GEM) | 2022 | |||
310 | Evaluation of a Semantic Search Approach based on AMR for Information Retrieval in Image Exploitation | Almuth Müller, Achim Kuwertz | Workshop on Sensor Data Fusion | 2022 | |||
311 | A Two-Stage Method for Chinese AMR Parsing | Liang Chen, Bofei Gao, Baobao Chang | preprint | 2022 | code | arXiv | |
312 | Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation | Fei-Tzin Lee, Miguel Ballesteros, Feng Nan, Kathleen McKeown | COLING | 2022 | |||
313 | Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations | Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan | EMNLP | 2022 | |||
314 | Visual Semantic Parsing: From Images to Abstract Meaning Representation | Mohamed A. Abdelsalam, Zhan Shi, Federico Fancellu, Kalliopi Basioti, Dhaivat J. Bhatt, Vladimir Pavlovic, Afsaneh Fazly | CoNLL | 2022 | |||
315 | Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation | Shira Wein, Zhuxin Wang, Nathan Schneider | IWCS | 2023 | arXiv | ||
316 | Large-scale AMR Corpus with Re-generated Sentences: Domain Adaptive Pre-training on ACL Anthology Corpus | Ming Zhao, Yaling Wang, Yves Lepage | International Conference on Advanced Computer Science and Information System (ICACSIS) | 2022 | |||
317 | From Graph to Graph: AMR to SPARQL | Kanchan Shivashankar, Khaoula Benmaarouf, Nadine Steinmetz | Natural Language Interfaces for the Web of Data (NLIWoD) | 2022 | |||
318 | Indonesian AMR-to-Text Generation by Language Model Fine-tuning | Taufiq Husada Daryanto, Masayu Leylia Khodra | International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) | 2022 | |||
319 | Mapping AMR to UMR: Resources for Adapting Existing Corpora for Cross-Lingual Compatibility | Julia Bonn, Skatje Myers, Jens E. L. Van Gysel, Lukas Denk, Meagan Vigus, Jin Zhao, Andrew Cowell, William Croft, Jan Hajič, James H. Martin, Alexis Palmer, Martha Palmer, James Pustejovsky, Zdenka Urešová, Rosa Vallejos, Nianwen Xue | TLT, GURT/SyntaxFest | 2023 | |||
320 | Predicates and entities in Abstract Meaning Representation | Antoine Venant, François Lareau | Depling (GURT/Syntaxfest) | 2023 | |||
321 | Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards | Giacomo Frisoni, Paolo Italiani, Stefano Salvatori, Gianluca Moro | AAAI | 2023 | |||
322 | Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters | Sebastien Montella, Alexis Nasr, Johannes Heinecke, Frederic Bechet, Lina M. Rojas-Barahona | EACL | 2023 | arXiv | ||
323 | xAMR: Cross-lingual AMR End-to-End Pipeline | Maja Mitreska, Tashko Pavlov, Kostadin Mishev, Monika Simjanoska | 3rd International Conference on Deep Learning Theory and Applications | 2022 | |||
324 | Multiset and DAG Automata for Abstract Meaning Representation | Justin Donald DeBenedetto | Ph.D. thesis, University of Notre Dame | 2021 | |||
325 | A Python-based system for Verbalizing AMR Structures | Guy Lapalme | preprint | 2019 | arXiv | ||
326 | Distant context aware text generation from abstract meaning representation | Sen Yang, Dawei Feng, Yang Liu, Dongsheng Li | Applied Intelligence | 2022 | |||
327 | Multidocument Abstractive Summarization using Abstract Meaning Representation for Indonesian Language | Verena Severina, Masayu Leylia Khodra | International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) | 2019 | |||
328 | A Method of Semantic Redundant Information Filtering for Abstract Meaning Representation Graph | Tuosiyu Ming, Hongchang Chen, Yizhuo Yang | International Conference on Data Science and Business Analytics (ICDSBA) | 2018 | |||
329 | Towards Timeline Generation with Abstract Meaning Representation | Behrooz Mansouri, Ricardo Campos, Adam Jatowt | Companion Proceedings of the ACM Web Conference (WWW) | 2023 | |||
330 | SMATCH++: Standardized and Extended Evaluation of Semantic Graphs | Juri Opitz | Findings of EACL | 2023 | |||
331 | Leveraging Abstract Meaning Representation for Knowledge Base Question Answering | Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G P Shrivatsa Bhargav, Mo Yu | Findings of ACL | 2021 | |||
332 | AMR Parsing with Instruction Fine-tuned Pre-trained Language Models | Young-Suk Lee, Ramón Fernandez Astudillo, Radu Florian, Tahira Naseem, Salim Roukos | preprint | 2023 | arXiv | ||
333 | Improving AMR parsing by exploiting the dependency parsing as an auxiliary task | Taizhong Wu, Junsheng Zhou, Weiguang Qu, Yanhui Gu, Bin Li, Huilin Zhong, Yunfei Long | Multimedia Tools and Applications | 2020 | |||
334 | Bridging Semantic Frameworks: mapping DRS onto AMR | Siyana Pavlova, Maxime Amblard, Bruno Guillaume | IWCS | 2023 | |||
335 | AMR4NLI: Interpretable and robust NLI measures from semantic graphs | Juri Opitz, Shira Wein, Julius Steen, Anette Frank, Nathan Schneider | IWCS | 2023 | |||
336 | SMARAGD: Learning SMatch for Accurate and Rapid Approximate Graph Distance | Juri Opitz, Philipp Meier, Anette Frank | IWCS | 2023 | |||
337 | Error Exploration for Automatic Abstract Meaning Representation Parsing | Maria Boritchev, Johannes Heinecke | IWCS | 2023 | |||
338 | The Sequence Notation: Catching Complex Meanings in Simple Graphs | Johan Bos | IWCS | 2023 | |||
339 | Use Defines Possibilities: Reasoning about Object Function to Interpret and Execute Robot Instructions | Mollie Shichman, Claire Bonial, Austin Blodgett, Taylor Hudson, Francis Ferraro, Rachel Rudinger | IWCS | 2023 | |||
340 | Exploiting Abstract Meaning Representation for Open-Domain Question Answering | Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang | ACL | 2023 | arXiv | ||
341 | metAMoRphosED: a graphical editor for Abstract Meaning Representation | Johannes Heinecke | ISA19@IWCS | 2023 | |||
342 | Referenceless Evaluation of Natural Language Generation from Meaning Representations | Emma Manning | Ph.D. Thesis, Georgetown University | 2021 | |||
343 | Integrating Syntactic and Semantic Knowledge in AMR Parsing with Heterogeneous Graph Attention Network | Yikemaiti Sataer, Chuanqi Shi, Miao Gao, Yunlong Fan, Bin Li, Zhiqiang Gao | ICASSP | 2023 | |||
344 | Linguistic representations for fewer-shot relation extraction across domains | Sireesh Gururaja, Ritam Dutt, Tinglong Liao, Carolyn Rosé | ACL | 2023 | arXiv | ||
345 | Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning | Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray | ACL | 2023 | |||
346 | ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation | Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan | ACL | 2023 | |||
347 | Incorporating Graph Information in Transformer-based AMR Parsing | Pavlo Vasylenko, Pere-Lluís Huguet Cabot, Abelardo Carlos Martínez Lorenzo, Roberto Navigli | Findings of ACL | 2023 | |||
348 | AMR-based Network for Aspect-based Sentiment Analysis | Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu, Lijie Wen | ACL | 2023 | |||
349 | An AMR-based Link Prediction Approach for Document-level Event Argument Extraction | Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang | ACL | 2023 | |||
350 | Evaluate AMR Graph Similarity via Self-supervised Learning | Ziyi Shou, Fangzhen Lin | ACL | 2023 | |||
351 | AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model | I-Hung Hsu, Zhiyu Xie, Kuan-Hao Huang, Prem Natarajan, Nanyun Peng | ACL | 2023 | |||
352 | AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing | Abelardo Carlos Martínez Lorenzo, Pere Lluís Huguet Cabot, Roberto Navigli | ACL | 2023 | |||
353 | Cross-lingual AMR Aligner: Paying Attention to Cross-Attention | Abelardo Carlos Martínez Lorenzo, Pere Lluís Huguet Cabot, Roberto Navigli | Findings of ACL | 2023 | |||
354 | AMR-TST: Abstract Meaning Representation-based Text Style Transfer | Kaize Shi, Xueyao Sun, Li He, Dingxian Wang, Qing Li, Guandong Xu | Findings of ACL | 2023 | |||
355 | Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation | Zhiyang Xu, Jay-Yoon Lee, Lifu Huang | Findings of ACL | 2023 | |||
356 | Leveraging Denoised Abstract Meaning Representation for Grammatical Error Correction | Hejing Cao, Dongyan Zhao | Findings of ACL | 2023 | arXiv | ||
357 | Towards Situated AMR: Creating a Corpus of Gesture AMR | Lucia Donatelli, Kenneth Lai, Richard Brutti, James Pustejovsky | International Conference on Human-Computer Interaction | 2022 | |||
358 | From text to graph: a general transition-based AMR parsing using neural network | Min Gu, Yanhui Gu, Weilan Luo, Guandong Xu, Zhenglu Yang, Junsheng Zhou, Weiguang Qu | Neural Computing and Applications | 2021 | |||
359 | Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing | Sadhana Kumaravel, Tahira Naseem, Ramon Fernandez Astudillo, Radu Florian, Salim Roukos | preprint | 2023 | arXiv | ||
360 | Entity Linking for KGQA Using AMR Graphs | Nadine Steinmetz | European Semantic Web Conference | 2023 | |||
361 | English Semantic Recognition Based on Abstract Meaning Representation and Vector Space Model | Yu Han Gao | Journal of Physics | 2018 | |||
362 | Employing Abstract Meaning Representation to Lay the Last-Mile Toward Reading Comprehension | Boris Galitsky | Artificial Intelligence for Customer Relationship Management | 2020 | |||
363 | From Shallow to Whole-Sentence Semantics: Semantic Parsing in English and Beyond | Rexhina Blloshmi | Ph.D. Thesis, Sapienza University of Rome | 2022 | |||
364 | Linguistic Interpretability and Composition of Abstract Meaning Representations | Austin Blodgett | Ph.D. Thesis, Georgetown University | 2021 | |||
365 | Transductive Semantic Parsing | Sheng Zhang | Ph.D. Thesis, The Johns Hopkins University | 2020 | |||
366 | Aligning English Sentences with Abstract Meaning Representation Graphs using Inductive Logic Programming | Shubham Agarwal | Ph.D. Thesis, Arizona State University | 2017 | |||
367 | Natural Language Understanding: Deep Learning for Abstract Meaning Representation | William Roger Foland, Jr. | Ph.D. Thesis, University of Colorado Boulder | 2017 | |||
368 | Structural and Global Features for Comparing Semantic Representation Formalisms | Siyana Pavlova, Maxime Amblard, Bruno Guillaume | Designing Meaning Representations Workshop | 2023 | |||
369 | Comparing UMR and Cross-lingual Adaptations of AMR | Shira Wein, Julia Bonn | Designing Meaning Representations Workshop | 2023 | |||
370 | Abstract Meaning Representation for Grounded Human-Robot Communication | Claire Bonial, Julie Foresta, Nicholas C. Fung, Cory J. Hayes, Philip Osteen, Jacob Arkin, Benned Hedegaard, Thomas M. Howard | Designing Meaning Representations Workshop | 2023 | |||
371 | Annotating Situated Actions in Dialogue | Christopher Tam, Richard Brutti, Kenneth Lai, James Pustejovsky | Designing Meaning Representations Workshop | 2023 | |||
372 | From Sentence to Action: Splitting AMR Graphs for Recipe Instructions | Katharina Stein, Lucia Donatelli, Alexander Koller | Designing Meaning Representations Workshop | 2023 | |||
373 | MR4AP: Meaning Representation for Application Purposes | Bastien Giordano, Cédric Lopez | Designing Meaning Representations Workshop | 2023 | |||
374 | Claim Extraction via Subgraph Matching over Modal and Syntactic Dependencies | Benjamin Rozonoyer, Michael Selvaggio, David Zajic, Ilana Heintz | Designing Meaning Representations Workshop | 2023 | |||
375 | Understanding Disrupted Sentences Using Underspecified Abstract Meaning Representation | Angus Addlesee, Marco Damonte | Interspeech | 2023 | |||
376 | Semantic Representation Using Sub-Symbolic Knowledge in Commonsense Reasoning | Dongsuk Oh, Jungwoo Lim, Kinam Park, Heuiseok Lim | Applied Sciences | 2022 | |||
377 | Inductive Model Using Abstract Meaning Representation for Text Classification via Graph Neural Networks | Takuro Ogawa, Ryosuke Saga | Human Interface and the Management of Information | 2023 | |||
378 | Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation | Abelardo Carlos Martínez Lorenzo, Marco Maru, and Roberto Navigli | ACL | 2022 | |||
379 | Concept Identification with Sequence-to-Sequence Models in Abstract Meaning Representation Parsing | Orsolya Bernadett Batiz, Robert Paul Helmer, Roxana Pop, Florin Macicasan, Camelia Lemnaru | IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) | 2020 | |||
380 | Semantic Transformations across Natural Languages and Abstract Meaning Representation | Deng Cai | Ph.D. thesis, The Chinese University of Hong Kong | 2022 | |||
381 | From Sentences to Documents: Extending Abstract Meaning Representation for Understanding Documents | Paloma Moreda, Armando Suárez, Elena Lloret, Estela Saquete, Isabel Moreno | Procesamiento del Lenguaje Natural | 2017 | |||
382 | System Report for CCL23-Eval Task 2: WestlakeNLP, Investigating Generative Large Language Models for Chinese AMR Parsing | Wenyang Gao, Xuefeng Bai, Yue Zhang | Chinese National Conference on Computational Linguistics | 2023 | |||
383 | Document-level relation extraction based on sememe knowledge-enhanced abstract meaning representation and reasoning | Qihui Zhao, Tianhan Gao, Nan Guo | Complex & Intelligent Systems | 2023 | |||
384 | Understanding Disrupted Sentences Using Underspecified Abstract Meaning Representation | Angus Addlesee, Marco Damonte | Interspeech | 2023 | pdf, code | ||
385 | Bridging the Gap between Synthetic and Natural Questions via Sentence Decomposition for Semantic Parsing | Yilin Niu, Fei Huang, Wei Liu, Jianwei Cui, Bin Wang, Minlie Huang | TACL | 2023 | |||
386 | FakEDAMR: Fake News Detection using Abstract Meaning Representation | Shubham Gupta, Narendra Yadav, Sankepally Sainath Reddy, Suman Kundu | preprint | 2023 | arXiv | ||
387 | Widely Interpretable Semantic Representation: Frameless Meaning Representation for Broader Applicability | Lydia Feng, Gregor Williamson, Han He, Jinho D. Choi | preprint | 2023 | arXiv | ||
388 | Addressing Long-Distance Dependencies in AMR Parsing with Hierarchical Clause Annotation | Yunlong Fan, Bin Li, Yikemaiti Sataer, Miao Gao, Chuanqi Shi, Zhiqiang Gao | Electronics | 2023 | |||
389 | Guiding AMR Parsing with Reverse Graph Linearization | Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang | Findings of EMNLP | 2023 | arXiv | ||
390 | AMR Parsing with Causal Hierarchical Attention and Pointers | Chao Lou, Kewei Tu | EMNLP | 2023 | arXiv | ||
391 | 'You Are An Expert Linguistic Annotator': Limits of LLMs as Analyzers of Abstract Meaning Representation | Allyson Ettinger, Jena D. Hwang, Valentina Pyatkin, Chandra Bhagavatula, Yejin Choi | Findings of EMNLP | 2023 | arXiv | ||
392 | CAMRA: Copilot for AMR Annotation | Jon Z. Cai, Shafiuddin Rehan Ahmed, Julia Bonn | EMNLP System Demonstration | 2023 | arXiv | ||
393 | Exploration and comparison of diverse approaches for integrating syntactic knowledge into AMR parsing | Yikemaiti Sataer, Zhiqiang Gao, Yunlong Fan, Bin Li, Miao Gao, Chuanqi Shi | Applied Intelligence | 2023 | pdf, code | ||
394 | Abstract Meaning Representation (AMR) Annotation Release 1.0 | Kevin Knight, Laura Baranescu, Claire Bonial, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Daniel Marcu, Martha Palmer, Nathan Schneider | LDC | 2014 | data | ||
395 | Abstract Meaning Representation (AMR) Annotation Release 2.0 | Kevin Knight, Bianca Badarau, Laura Baranescu, Claire Bonial, Madalina Bardocz, Kira Griffitt, Ulf Hermjakob, Daniel Marcu, Martha Palmer, Tim O'Gorman, Nathan Schneider | LDC | 2017 | data | ||
396 | Chinese Abstract Meaning Representation 1.0 | Bin Li, Yuan Wen, Li Song, Rubing Dai, Weiguang Qu, Nianwen Xue | LDC | 2019 | data | ||
397 | Abstract Meaning Representation (AMR) Annotation Release 3.0 | Kevin Knight, Bianca Badarau, Laura Baranescu, Claire Bonial, Madalina Bardocz, Kira Griffitt, Ulf Hermjakob, Daniel Marcu, Martha Palmer, Tim O'Gorman, Nathan Schneider | LDC | 2020 | data | ||
398 | Abstract Meaning Representation 2.0 - Four Translations | Marco Damonte, Shay Cohen | LDC | 2020 | data | ||
399 | Chinese Abstract Meaning Representation 2.0 | Bin Li, Liming Xiao, Yihuan Liu, Yuan Wen, Li Song, Jayeol Chun, Minxuan Feng, Junsheng Zhou, Weiguang Qu, Nianwen Xue | LDC | 2021 | data | ||
400 | Dialogue-AMR Annotation Guidelines | Claire Bonial, Clare Voss, Taylor Hudson, Lucia Donatelli, David Traum, Mitchell Abrams, Austin Blodgett | DEVCOM Army Research Laboratory report | 2023 | |||
401 | AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite | Jonas Groschwitz, Shay B. Cohen, Lucia Donatelli, Meaghan Fowlie | EMNLP | 2023 | pdf, code | arXiv | |
402 | Text2AMR2FRED, a tool for transforming text into RDF/OWL Knowledge Graphs via Abstract Meaning Representation | Aldo Gangemi, Arianna Graciotti, Antonello Meloni, Andrea Nuzzolese, Valentina Presutti, Diego Reforgiato Recupero, Alessandro Russo, Rocco Tripodi | ISWC | 2023 | |||
403 | PAMR: Persian Abstract Meaning Representation Corpus | Nasim Tohidi, Chitra Dadkhah, Reza Nouralizadeh Ganji, Ehsan Ghaffari Sadr, Hoda Elmi | ACM Transactions on Asian and Low-Resource Language Information Processing | 2023 | |||
404 | Metrics of Graph-Based Meaning Representations with Applications from Parsing Evaluation to Explainable NLG Evaluation and Semantic Search | Juri Opitz | Ph.D. Thesis, Heidelberg University | 2024 | pdf, code | ||
405 | Cross-lingual AMR parsing based on unsupervised pre-training | Lin-yu Fan, Jun-hui Li,Fang Kong | Computer Engineering & Science | 2024 | |||
406 | Improving Long Dialogue Summarization with Semantic Graph Representation | Yilun Hua, Zhaoyuan Deng, Kathleen McKeown | Findings of ACL | 2023 | |||
407 | Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation | Shira Wein, Nathan Schneider | EACL | 2024 | arXiv | ||
408 | X-AMR Annotation Tool | Shafiuddin Rehan Ahmed, Jon Z. Cai, Martha Palmer, James H. Martin | EACL (Demo Session) | 2024 | |||
409 | Improving Medical Dialogue Generation with Abstract Meaning Representations | Bohao Yang, Chen Tang, Chenghua Lin | ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | 2024 | |||
410 | BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing | Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme | 37th Conference on Neural Information Processing Systems (NeurIPS 2023) | 2023 | |||
411 | De-Bias Using Abstract Meaning Representation for Image Captioning | Jungeun Kim, Jangyeong Jeon, Seungjin Jung, Junyeong Kim | IEEE International Conference on Consumer Electronics (ICCE) | 2024 | |||
412 | Improving the Representation of Sentences with Reinforcement Learning and AMR graph | Jinwoo Park, Hosoo Shin, Dahee Jeong, Junyeong Kim | IEEE International Conference on Consumer Electronics (ICCE) | 2024 | |||
413 | Hierarchical information matters! Improving AMR parsing with multi-granularity representation interactions | Yikemaiti Sataer, Yunlong Fan, Bin Li, Miao Gao, Chuanqi Shi, Zhiqiang Gao | Information Processing & Management | 2024 | |||
414 | CAPPST:Chinese AMR Parsing with Parameter-efficient Fine-tuned Pre-trained Language Model for Particular Sentence Types | Zihao Wu, Hua Yin, Yuelei Ji, Hanlin Wang, Yiliang Lu, Ziqian Gao | Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing | 2023 | |||
415 | Neuro-symbolic Commonsense Social Reasoning | David Chanin, Anthony Hunter | preprint | 2023 | arXiv | ||
416 | Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning | Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gael Gendron, Timothy Pistotti, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu | Findings of ACL | 2024 | arXiv | ||
417 | Structured Information Matters: Incorporating Abstract Meaning Representation into LLMs for Improved Open-Domain Dialogue Evaluation | Bohao Yang, Kun Zhao, Chen Tang, Liang Zhan, Chenghua Lin | preprint | 2024 | arXiv | ||
418 | AMR2FRED, A Tool for Translating Abstract Meaning Representation to Motif-Based Linguistic Knowledge Graphs | Antonello Meloni, Diego Reforgiato Recupero, Aldo Gangemi | The Semantic Web: ESWC 2017 Satellite Events | 2017 | |||
419 | Abstract Meaning Representation 2.0 - Four Translations | Marco Damonte, Shay Cohen | LDC | 2020 | data | ||
420 | Abstract Meaning Representation (AMR) Annotation Release 3.0 | Kevin Knight, Bianca Badarau, Laura Baranescu, Claire Bonial, Madalina Bardocz, Kira Griffitt, Ulf Hermjakob, Daniel Marcu, Martha Palmer, Tim O'Gorman, Nathan Schneider | LDC | 2020 | data | ||
421 | Chinese Abstract Meaning Representation 2.0 | Bin Li, Liming Xiao, Yihuan Liu, Yuan Wen, Li Song, Jayeol Chun, Minxuan Feng, Junsheng Zhou, Weiguang Qu, Nianwen Xue | LDC | 2021 | data | ||
422 | On the Role of Summary Content Units in Text Summarization Evaluation | Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Lining Zhang, Sebastian Gehrmann, Saad Mahamood, Miruna Clinciu, Khyathi Chandu, Yufang Hou | NAACL | 2024 | arXiv | ||
423 | REMATCH: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similarity | Zoher Kachwala, Jisun An, Haewoon Kwak, Filippo Menczer | Findings of NAACL | 2024 | arXiv | ||
424 | Linear Cross-document Event Coreference Resolution with X-AMR | Shafiuddin Rehan Ahmed, George Arthur Baker, Evi Judge, Michael Reagan, Kristin Wright-Bettner, Martha Palmer, James H. Martin | LREC | 2024 | |||
425 | YARN is All You Knit: Encoding Multiple Semantic Phenomena with Layers | Siyana Pavlova, Maxime Amblard, Bruno Guillaume | Designing Meaning Representations Workshop | 2024 | |||
426 | Evaluation of Semantic Parsing Frameworks for Automated Knowledge Base Construction | Martin Verrev | Intelligent Systems Design and Applications. | 2023 | |||
427 | Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation | Kaize Shi, Xueyao Sun, Qing Li, Guandong Xu | preprint | 2024 | arXiv | ||
428 | Adapting Abstract Meaning Representation Parsing to the Clinical Narrative – the SPRING THYME parser | Jon Z. Cai, Kristin Wright-Bettner, Martha Palmer, Guergana K. Savova, James H. Martin | Clinical NLP Workshop | 2024 | arXiv | ||
429 | Adapting Semantic Role Labeling to New Genres and Languages | Skatje Myers | Ph.D. thesis, University of Colorado at Boulder | 2023 | |||
430 | Computational Structures as Neural Symbolic Representation | Han He | Ph.D. thesis, Emory University | 2023 | |||
431 | Building Reliable and Robust Natural Language Processing Models: Enhancing Understanding of Semantically Equivalent Texts | Kuan-Hao Huang | Ph.D. thesis, University of California, Los Angeles (UCLA) | 2023 | |||
432 | Generating Semantic Graphs for Natural Language | Jiawei Zhou | Ph.D. thesis, Harvard University | 2023 | |||
433 | Holographic Embeddings for Text and Graphs | Timothy Obiso | MSc thesis, Brandeis University | 2024 | |||
434 | Dense Captioning Using Abstract Meaning Representation | Antonio M. S. Almeida Neto, Helena M. Caseli, Tiago A. Almeida | Intelligent Systems | 2020 | |||
435 | Less is Enough: Less-Resourced Multilingual AMR Parsing | Bram Vanroy, Tim Van de Cruys | Joint ACL - ISO Workshop on Interoperable Semantic Annotation (ISA) | 2024 | |||
436 | Anchor and Broadcast: An Efficient Concept Alignment Approach for Evaluation of Semantic Graphs | Haibo Sun, Nianwen Xue | LREC-COLING | 2024 | |||
437 | ReCAP: Semantic Role Enhanced Caption Generation | Abhidip Bhattacharyya, Martha Palmer, Christoffer Heckman | LREC-COLING | 2024 | |||
438 | CALAMR: Component ALignment for Abstract Meaning Representation | Paul Landes, Barbara Di Eugenio | LREC-COLING | 2024 | |||
439 | A Corpus of German Abstract Meaning Representation (DeAMR) | Christoph Otto, Jonas Groschwitz, Alexander Koller, Xiulin Yang, Lucia Donatelli | LREC-COLING | 2024 | |||
440 | Leveraging AMR Graph Structure for Better Sequence-to-Sequence AMR Parsing | Linyu Fan, Wu Wu Yiheng, Jun Xie, Junhui Li, Fang Kong, Guodong Zhou | LREC-COLING | 2024 | |||
441 | Encoding Gesture in Multimodal Dialogue: Creating a Corpus of Multimodal AMR | Kenneth Lai, Richard Brutti, Lucia Donatelli, James Pustejovsky | LREC-COLING | 2024 | |||
442 | GLAMR: Augmenting AMR with GL-VerbNet Event Structure | Jingxuan Tu, Timothy Obiso, Bingyang Ye, Kyeongmin Rim, Keer Xu, Liulu Yue, Susan Windisch Brown, Martha Palmer, James Pustejovsky | LREC-COLING | 2024 | |||
443 | Accelerating UMR Adoption: Neuro-Symbolic Conversion from AMR-to-UMR with Low Supervision | Claire Benét Post, Marie McGregor, Maria Leonor Pacheco, Alexis Palmer | Designing Meaning Representations Workshop | 2024 | |||
444 | The Relative Clauses AMR Parsers Hate Most | Xiulin Yang, Nathan Schneider | Designing Meaning Representations Workshop | 2024 | |||
445 | Lexicalized Meaning Representation (LMR) | Jorge Baptista, Sónia Reis, João Dias, Pedro A. Santos | Designing Meaning Representations Workshop | 2024 | |||
446 | Argument Sharing in Meaning Representation Parsing | Maja Buljan, Lilja Øvrelid, Stephan Oepen | Designing Meaning Representations Workshop | 2024 | |||
447 | VOLARE – Visual Ontological LAnguage REpresentation | Werner Winiwarter | Designing Meaning Representations Workshop | 2024 | |||
448 | ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions | Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Chandra Kiran Reddy Evuru, S Ramaneswaran, S Sakshi, Dinesh Manocha | ACL | 2024 | arXiv | ||
449 | Disjunctive AMR 1.0 | Daniel Marcu, Laura Banarescu, Madalina Georgescu | preprint | 2013 | arXiv | ||
450 | AMRFACT: Enhancing Summarization Factuality Evaluation with AMR-driven Training Data Generation | Haoyi Qiu, Kung-Hsiang Huang, Jingnong Qu, Nanyun Peng | NAACL | 2024 | arXiv | ||
451 | Unsupervised Syntactic Text Simplification with AMR | Kostyantyn Guzhva | MSc thesis, University of Alberta | 2024 | |||
452 | MOSAICo: a Multilingual Open-text Semantically Annotated Interlinked Corpus | Simone Conia, Edoardo Barba, Abelardo Carlos Martínez Lorenzo, Pere-Lluís Huguet Cabot, Riccardo Orlando, Luigi Procopio, Roberto Navigli | NAACL | 2024 | |||
453 | Analyzing the Role of Semantic Representations in the Era of Large Language Models | Zhijing Jin, Yuen Chen, Fernando Gonzalez, Jiarui Liu, Jiayi Zhang, Julian Michael, Bernhard Schölkopf, Mona Diab | NAACL | 2024 | |||
454 | A Survey of Meaning Representations – From Theory to Practical Utility | Zacchary Sadeddine, Juri Opitz, Fabian M. Suchanek | NAACL | 2024 | |||
455 | Exploring Semantics in Pretrained Language Model Attention | Frédéric Charpentier, Jairo Cugliari, Adrien Guille | *SEM | 2024 | arXiv | ||
456 | Efficient AMR Parsing with CLAP: Compact Linearization with an Adaptable Parser | Abelardo Carlos Martínez Lorenzo, Roberto Navigli | LREC-COLING | 2024 | |||
457 | Modeling an AMR Corpus using a Graph Extension Grammar | Alexander Arvidsson Ornberg | B.S. Thesis Umeå University | 2024 | |||
458 | MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection | Michael Regan, Shira Wein, George Baker, Emilio Monti | *SEM | 2024 | arXiv | ||
459 | Inspecting Soundness of AMR Similarity Metrics in terms of Equivalence and Inequivalence | Kyung Seo Ki, Bugeun Kim, Gahgene Gweon | *SEM | 2024 | |||
460 | Mitigating Data Scarcity in Semantic Parsing across Languages: the Multilingual Semantic Layer and its Dataset | Abelardo Carlos Martínez Lorenzo, Pere-Luís Huguet Cabot, Karim Ghonim, Lu Xu, Hee-Soo Choi, Alberte Fernández Castro, Roberto Navigli | Findings of ACL | 2024 | |||
461 | Semantic Graphs for Syntactic Simplification: A Revisit from the Age of LLM | Peiran Yao, Kostyantyn Guzhva, Denilson Barbosa | TextGraphs-17 Workshop | 2024 | arXiv | ||
462 | Can Abstract Meaning Representation Facilitate Fair Legal Judgement Predictions? | Supriti Vijay, Daniel Hershcovich | Fifth Workshop on Insights from Negative Results in NLP | 2024 | |||
463 | Document Classification via Stable Graph Patterns and Conceptual AMR Graphs | Eric George Parakal, Egor Dudyrev, Sergei O. Kuznetsov, Amedeo Napoli | International Joint Conference on Conceptual Knowledge Structures | 2024 | |||
464 | Spatial Relation Extraction on AMR Enhancement and Additional Markers | Guoqi Yang, Sheng Xu, Peifeng Li, Qiaoming Zhu | International Conference on Intelligent Computing | 2024 | |||
465 | Semantic graph learning for trend prediction from long financial documents | Namir Xia, Mohammed J. Zaki, Aparna Gupta | IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr) | 2024 | |||
466 | Internal-External Information Enhanced Causal Reasoning | Yucheng Yao, Fan Yang, Kaiyue Wang, Xiabing Zhou | International Joint Conference on Neural Networks (IJCNN) | 2024 | |||
467 | Explicit Relation-Enhanced AMR for Document-Level Event Argument Extraction with Global-Local Attention | Pushi Wang, Tao Luo, Xin Wang, Guozheng Rao | Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data | 2024 | |||
468 | Investigating Paraphrase Generation as a Data Augmentation Strategy for Low-Resource AMR-to-Text Generation | Marco Antonio Sobrevilla Cabezudo, Marcio Lima Inacio, Thiago Alexandre Salgueiro Pardo | Proceedings of the 17th International Natural Language Generation Conference | 2024 | |||
469 | Generating from AMRs into High and Low-Resource Languages using Phylogenetic Knowledge and Hierarchical QLoRA Training (HQL) | William Eduardo Soto Martinez, Yannick Parmentier, Claire Gardent | Proceedings of the 17th International Natural Language Generation Conference | 2024 | |||
470 | Transforming text annotations into graph-based features for a human-in-the-loop explainable information extraction framework | Florian Chytilek | MSc thesis, Technische Universität Wien | 2024 | |||
471 | Compositionality and Sentence Meaning: Comparing Semantic Parsing and Transformers on a Challenging Sentence Similarity Dataset | James Fodor, Simon De Deyne, Shinsuke Suzuki | Computational Linguistics | 2024 | |||
472 | Automatic Single Document Summarization for Indonesian News Article Using Abstract Meaning Representation | Amany Akhyar, Masayu Leylia Khodra | The 11th International Conference on Advanced Informatics: Concepts, Theory and Applications | 2024 | |||
473 | FLAG: Financial Long Document Classification via AMR-based GNN | Bolun (Namir) Xia, Mohammed J. Zaki, Aparna Gupta | CIFEr | 2024 | arXiv | ||
474 | Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR | Jeongwoo Kang, Maximin Coavoux, Cédric Lopez, Didier Schwab | Findings of EMNLP | 2024 | arXiv | ||
475 | A Survey of AMR Applications | Shira Wein, Juri Opitz | EMNLP | 2024 | |||
476 | AMREx: AMR for Explainable Fact Verification | Chathuri Jayaweera, Sangpil Youm, Bonnie Dorr | Fact Extraction and VERification Workshop (FEVER) | 2024 | arXiv | ||
477 | Multi-hop Reading Comprehension Model Based on Abstract Meaning Representation and Multi-task Joint Learning | Peiyu Zhao, Zhujian Zhang, Bo Liu | CCF International Conference on Natural Language Processing and Chinese Computing | 2024 | |||
478 | Human–robot dialogue annotation for multi-modal common ground | Claire Bonial, Stephanie M. Lukin, Mitchell Abrams, Anthony Baker, Lucia Donatelli, Ashley Foots, Cory J. Hayes, Cassidy Henry, Taylor Hudson, Matthew Marge, Kimberly A. Pollard, Ron Artstein, David Traum, Clare R. Voss | Lang Resources & Evaluation | 2024 | |||
479 | More Victories, Less Cooperation: Assessing Cicero’s Diplomacy Play | Wichayaporn Wongkamjan, Feng Gu, Yanze Wang, Ulf Hermjakob, Jonathan May, Brandon Stewart, Jonathan Kummerfeld, Denis Peskoff, Jordan Boyd-Graber | Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics | 2024 | |||
480 | SenticNet and Abstract Meaning Representation driven Attention-Gate semantic framework for aspect sentiment triplet extraction | Xiaowen Sun, Jiangtao Qi, Zhenfang Zhu, Meng Li, Hongli Pei,Jing Meng | Engineering Applications of Artificial Intelligence | 2024 |