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 302 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))
The AMR for the sentence Pierre Vinken, 61 years old, will join the board as a nonexecutive director Nov. 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 | D. Chiang, J. Andreas, D. Bauer, K. M. Hermann, B. Jones, K. 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 | F. Braune, D. Bauer, K. 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 | N. Xue, O. Bojar, J. Hajic, M. Palmer, Z. Uresova, X. 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 | C. Wang, N. Xue, S. 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 | J. Groschwitz, A. Koller, C. Teichmann | ACL | 2015 | |||
13 | Robust Subgraph Generation Improves Abstract Meaning Representation Parsing | K. Werling, G. Angeli, C. 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 | M. Pust, U. Hermjakob, K. Knight, D. Marcu, J. 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 | X. Peng, L. Song, D. 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 | Y. Artzi, K. Lee, L. Zettlemoyer | EMNLP | 2015 | |||
24 | Semantic Structure Analysis of Noun Phrases using Abstract Meaning Representation | Y. Sawai, H. Shindo, Y. Matsumoto | ACL | 2015 | |||
25 | Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and Reasoning | A. Mitra, C. 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 | G. Burns, U. Hermjakob, J. L. 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 | J. Zhou, F. Xu, H. Uszkoreit, W. Qu, R. Li, Y. 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 | L. Song, Y. Zhang, X. Peng, Z. Wang, D. 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 | M. Sachan, E. 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 | S. Garg, A. Galstyan, U. Hermjakob, D. Marcu | AAAI | 2016 | arXiv | ||
46 | Neural Headline Generation on Abstract Meaning Representation | S. Takase, J. Suzuki, N. Okazaki, T. Hirao, M. 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 | M. Damonte, S. B. Cohen, G. 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 | Tim 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 | preprint | 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 | A Survey : Neural Networks for AMR-to-Text | Hongyu Hao, Guangtong Li, Zhiming Hu, Huafeng Wang | preprint | 2022 | arXiv | ||
280 | SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable AMR Meaning Features | Juri Opitz, Anette Frank | preprint | 2022 | arXiv | ||
281 | Multilingual Abstract Meaning Representation for Celtic Languages | Johannes Heinecke, Anastasia Shimorina | The 4th Celtic Language Technology Workshop (CLTW 4) | 2022 | |||
282 | AMR Alignment: Paying Attention to Cross-Attention | Pere-Lluís Huguet Cabot, Abelardo Carlos Martínez Lorenzo, Roberto Navigli | preprint | 2022 | arXiv | ||
283 | 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 | |||
284 | Abstract Meaning Representation for Gesture | Richard Brutti, Lucia Donatelli, Kenneth Lai, James Pustejovsky | LREC | 2022 | |||
285 | Universal Semantic Annotator: the First Unified API for WSD, SRL and Semantic Parsing | Riccardo Orlando, Simone Conia, Stefano Faralli, Roberto Navigli | LREC | 2022 | |||
286 | 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 | |||
287 | Sequence-to-sequence AMR Parsing with Ancestor Information | Chen Yu, Daniel Gildea | ACL | 2022 | |||
288 | 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 | ||
289 | 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 | ||
290 | Accounting for Language Effect in the Evaluation of Cross-lingual AMR Parsers | Shira Wein, Nathan Schneider | COLING | 2022 | |||
291 | BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning | Ziming Cheng, Zuchao Li, Hai Zhao | COLING | 2022 | |||
292 | AMRTVSumm: AMR-augmented Hierarchical Network for TV Transcript Summarization | Yilun Hua, Zhaoyuan Deng, Zhijie Xu | Workshop on Automatic Summarization for Creative Writing (CreativeSumm) | 2022 | |||
293 | Semantic-based Pre-training for Dialogue Understanding | Xuefeng Bai, Linfeng Song, Yue Zhang | COLING | 2022 | |||
294 | Cross-domain Generalization for AMR Parsing | Xuefeng Bai, Seng Yang, Leyang Cui, Linfeng Song, Yue Zhang | preprint | 2022 | arXiv | ||
295 | Universal Semantic Annotator | Roberto Navigli, Riccardo Orlando, Cesare Campagnano, Simone Conia | European Language Grid | 2022 | |||
296 | Better Smatch = Better Parser? AMR evaluation is not so simple anymore | Juri Opitz, Anette Frank | Eval4NLP | 2022 | |||
297 | NLG-METRICVERSE: An End-to-End Library for Evaluating Natural Language Generation | Giacomo Frisoni, Antonella Carbonaro, Gianluca Moro, Andrea Zammarchi, Marco Avagnano | COLING | 2022 | |||
298 | 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 | |||
299 | 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 | |||
300 | The Joint Training of Transition-Based AMR Parser | Guangxuan Xu | MSc thesis, University of California Los Angeles | 2022 | |||
301 | An in-depth look at Euclidean disk embeddings for structure preserving parsing | Federico Fancellu, Lan Xiao, Allan Jepson, Afsaneh Fazly | BlackboxNLP | 2021 | |||
302 | 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 |