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 and Nathan Schneider, based in part on this one and this one.
The 185 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 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 | Separating Argument Structure from Logical Structure in AMR | Johan Bos | preprint | 2019 | arXiv | ||
122 | Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning | Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros | ACL | 2019 | |||
123 | Enhancing AMR-to-Text Generation with Dual Graph Representations | Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych | EMNLP | 2019 | arXiv | ||
124 | Broad-Coverage Semantic Parsing as Transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | EMNLP | 2019 | arXiv | ||
125 | AMR Normalization for Fairer Evaluation | Michael Wayne Goodman | preprint | 2019 | arXiv | ||
126 | 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 | ||
127 | Modeling Source Syntax and Semantics for Neural AMR Parsing | DongLai Ge, Junhui Li, Muhua Zhu, Shoushan Li | IJCAI | 2019 | |||
128 | Core Semantic First: A Top-down Approach for AMR Parsing | Deng Cai, Wai Lam | EMNLP | 2019 | arXiv | ||
129 | Verbalizing AMR Structures | Guy Lapalme | Manuscript | 2019 | pdf, code, demo | ||
130 | 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 | |||
131 | AMR-to-Text Generation with Cache Transition Systems | Lisa Jin, Daniel Gildea | preprint | 2019 | arXiv | ||
132 | Exploring Graph-Algebraic CCG Combinators for Syntactic-Semantic AMR Parsing | Sebastian Beschke | RANLP | 2019 | |||
133 | Graph-to-Graph Meaning Representation Transformations for Human-Robot Dialogue | Mitchell Abrams, Claire Bonial, Lucia Donatelli | SCiL | 2020 | |||
134 | AMR Similarity Metrics from Principles | Juri Opitz, Letitia Parcalabescu, Anette Frank | TACL | 2020 | pdf, code | arXiv | |
135 | A Human Evaluation of AMR-to-English Generation Systems | Emma Manning, Shira Wein, Nathan Schneider | COLING | 2020 | arXiv | ||
136 | 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 | ||
137 | Graph Transformer for Graph-to-Sequence Learning | Deng Cai, Wai Lam | AAAI | 2020 | arXiv | ||
138 | AMR Parsing via Graph-Sequence Iterative Inference | Deng Cai, Wai Lam | ACL | 2020 | arXiv | ||
139 | Understanding and Generating Language with Abstract Meaning Representation | Marco Damonte | Ph.D. thesis, University of Edinburgh | 2020 | |||
140 | Methods for taking semantic graphs apart and putting them back together again | Jonas Groschwitz | Ph.D. thesis, Saarland University and Macquarie University | 2019 | |||
141 | Parsing and Generation for the Abstract Meaning Representation | Jeffrey Flanigan | Ph.D. thesis, Carnegie Mellon University | 2018 | |||
142 | Abstract Meaning Representation Parsing | Chuan Wang | Ph.D. thesis, Brandeis University | 2018 | |||
143 | Abstract Meaning Representation Parsing with Rich Linguistic Features | Wei-Te Chen | Ph.D. thesis, University of Colorado Boulder | 2017 | |||
144 | Bringing together computational and linguistic models of implicit role interpretation | Tim O'Gorman | Ph.D. thesis, University of Colorado Boulder | 2019 | |||
145 | Construct a sense-frame aligned predicate lexicon for Chinese AMR corpus | Li Song, Yuling Dai, Yihuan Liu, Bin Li, Weiguang Qu | LREC | 2020 | |||
146 | 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 | |||
147 | Spatial AMR: Expanded spatial annotation in the context of a grounded Minecraft corpus | Julia Bonn, Martha Palmer, Zheng Cai, Kristin Wright-Bettner | LREC | 2020 | |||
148 | From spatial relations to spatial configurations | Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Zheng Cai, Martha Palmer, Dan Roth | LREC | 2020 | |||
149 | AMR Parsing with Latent Structural Information | Qiji Zhou, Yue Zhang, Donghong Ji, Hao Tang | ACL | 2020 | |||
150 | 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 | |
151 | 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 | |||
152 | AMR quality rating with a lightweight CNN | Juri Opitz | AACL | 2020 | arXiv | ||
153 | Graphs with Multiple Sources per Vertex | Martin van Harmelen, Jonas Groschwitz | preprint | 2020 | arXiv | ||
154 | Penman: An Open-Source Library and Tool for AMR Graphs | Michael Wayne Goodman | ACL (Demo session) | 2020 | |||
155 | AMR-To-Text Generation with Graph Transformer | Tianming Wang, Xiaojun Wan, Hanqi Jin | TACL | 2020 | |||
156 | Better AMR-to-text generation with graph structure reconstruction | Tianming Wang, Xiaojun Wan, Shaowei Yao | IJCAI-PRICAI | 2020 | |||
157 | Graph-to-Sequence Learning using Gated Graph Neural Networks | Daniel Beck, Gholamreza Haffari, Trevor Cohn | ACL | 2018 | pdf, code | arXiv | |
158 | 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 | |||
159 | Investigating Pretrained Language Models for Graph-to-Text Generation | Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, Iryna Gurevych | preprint | 2020 | arXiv | ||
160 | Fast semantic parsing with well-typedness guarantees | Matthias Lindemann, Jonas Groschwitz, Alexander Koller | EMNLP | 2020 | arXiv | ||
161 | Improving AMR Parsing with Sequence-to-Sequence Pre-training | Dongqin Xu, Junhui Li, Muhua Zhu, Min Zhang, Guodong Zhou | EMNLP | 2020 | arXiv | ||
162 | Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR | Juri Opitz, Anette Frank | preprint | 2020 | arXiv | ||
163 | Online Back-Parsing for AMR-to-Text Generation | Xuefeng Bai, Linfeng Song, Yue Zhang | EMNLP | 2020 | arXiv | ||
164 | 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 | ||
165 | 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 | |
166 | Transition-based Parsing with Stack-Transformers | Ramón Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian | Findings of EMNLP | 2020 | pdf, code | arXiv | |
167 | XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques | Rexhina Blloshmi, Rocco Tripodi, Roberto Navigli | EMNLP | 2020 | |||
168 | A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing | Chunchuan Lyu, Shay B. Cohen, Ivan Titov | preprint | 2020 | arXiv | ||
169 | 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 | ||
170 | Multilingual AMR-to-Text Generation | Angela Fan, Claire Gardent | EMNLP | 2020 | |||
171 | Semantically Inspired AMR Alignment for the Portuguese Language | Rafael Anchiêta, Thiago Pardo | EMNLP | 2020 | |||
172 | The Role of Reentrancies in Abstract Meaning Representation Parsing | Marco Damonte, Ida Szubert, Shay B. Cohen, Mark Steedman | Findings of EMNLP | 2020 | |||
173 | 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 | |||
174 | Hitachi at MRP 2020: Text-to-Graph-Notation Transducer | Hiroaki Ozaki, Gaku Morio, Yuta Koreeda, Terufumi Morishita, Toshinori Miyoshi | CoNLL | 2020 | |||
175 | ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN | David Samuel, Milan Straka | CoNLL | 2020 | |||
176 | HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser | Longxu Dou, Yunlong Feng, Yuqiu Ji, Wanxiang Che, Ting Liu | CoNLL | 2020 | |||
177 | HUJI-KU at MRP 2020: Two Transition-based Neural Parsers | Ofir Arviv, Ruixiang Cui, Daniel Hershcovich | CoNLL | 2020 | |||
178 | JBNU at MRP 2020: AMR Parsing Using a Joint State Model for Graph-Sequence Iterative Inference | Seung-Hoon Na, Jinwoo Min | CoNLL | 2020 | |||
179 | Generalized Shortest-Paths Encoders for AMR-to-Text Generation | Lisa Jin, Daniel Gildea | COLING | 2020 | |||
180 | Predicting Coreference in Abstract Meaning Representations | Tatiana Anikina, Alexander Koller, Michael Roth | Computational Models of Reference, Anaphora and Coreference Workshop | 2020 | |||
181 | A Continuation Semantics for Abstract Meaning Representation | Kenneth Lai, Lucia Donatelli, James Pustejovsky | Designing Meaning Representations Workshop | 2020 | |||
182 | Separating Argument Structure from Logical Structure in AMR | Johan Bos | Designing Meaning Representations Workshop | 2020 | |||
183 | Building Korean Abstract Meaning Representation Corpus | Hyonsu Choe, Jiyoon Han, Hyejin Park, Tae Hwan Oh, Hansaem Kim | Designing Meaning Representations Workshop | 2020 | |||
184 | 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 | |||
185 | 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 |