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We propose an attention-based model that treats AMR parsing as sequence-to-graph transduction.
Rewarding smatch: Transition-based amr parsing with reinforcement learning
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Long short-term memory
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Online large-margin training of dependency parsers
Ryan McDonald, Koby Crammer, and Fernando Pereira. 2005 · 2005
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Universal conceptual cognitive annotation (ucca)
Omri Abend and Ari Rappoport. 2013 · 2013
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Abstract meaning representation for sembanking
Laura Banarescu, Claire Bonial, Shu Cai, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Martha Palmer, and Nathan Schneider. 2013 · 2013
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Smatch: an evaluation metric for semantic feature structures
Shu Cai and Kevin Knight. 2013 · 2013
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Parsing graphs with hyperedge replacement grammars
David Chiang, Jacob Andreas, Daniel Bauer, Karl Moritz Hermann, Bevan Jones, and Kevin Knight. 2013 · 2013
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Improving efficiency and accuracy in multilingual entity extraction
Joachim Daiber, Max Jakob, Chris Hokamp, and Pablo N. Mendes. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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A discriminative graph-based parser for the abstract meaning representation
Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, Chris Dyer, and Noah A. Smith. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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The Stanford CoreNLP natural language processing toolkit
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014 · 2014
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SemEval 2014 task 8: Broad-coverage semantic dependency parsing
Stephan Oepen, Marco Kuhlmann, Yusuke Miyao, Daniel Zeman, Dan Flickinger, Jan Hajic, Angelina Ivanova, and Yi Zhang. 2014 · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Aligning english strings with abstract meaning representation graphs
Nima Pourdamghani, Yang Gao, Ulf Hermjakob, and Kevin Knight. 2014 · 2014
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Broad-coverage ccg semantic parsing with amr
Yoav Artzi, Kenton Lee, and Luke Zettlemoyer. 2015 · 2015
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Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
Cited alongside, same era.
A synchronous hyperedge replacement grammar based approach for AMR parsing
Xiaochang Peng, Linfeng Song, and Daniel Gildea. 2015 · 2015
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Parsing english into abstract meaning representation using syntax-based machine translation
Michael Pust, Ulf Hermjakob, Kevin Knight, Daniel Marcu, and Jonathan May. 2015 · 2015
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Grammar as a foreign language
Oriol Vinyals, Łukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, and Geoffrey Hinton. 2015 · 2015
Cited alongside, same era.
A transition-based algorithm for amr parsing
Chuan Wang, Nianwen Xue, and Sameer Pradhan. 2015 · 2015
Cited alongside, same era.
Robust subgraph generation improves abstract meaning representation parsing
Camr at semeval-2016 task 8: An extended transition-based amr parser
Chuan Wang, Sameer Pradhan, Xiaoman Pan, Heng Ji, and Nianwen Xue. 2016 · 2016
Later among the works it cites.
Amr parsing with an incremental joint model
Junsheng Zhou, Feiyu Xu, Hans Uszkoreit, Weiguang QU, Ran Li, and Yanhui Gu. 2016 · 2016
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AMR parsing using stack-LSTMs
Miguel Ballesteros and Yaser Al-Onaizan. 2017 · 2017
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Oxford at semeval-2017 task 9: Neural amr parsing with pointer-augmented attention
Jan Buys and Phil Blunsom. 2017 · 2017
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An incremental parser for abstract meaning representation
Marco Damonte, Shay B. Cohen, and Giorgio Satta. 2017 · 2017
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Abstract meaning representation parsing using lstm recurrent neural networks
William Foland and James H. Martin. 2017 · 2017
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Keenon Werling, Gabor Angeli, and Christopher D. Manning. 2015 · 2015
Cited alongside, same era.
Riga at semeval-2016 task 8: Impact of smatch extensions and character-level neural translation on amr parsing accuracy
Guntis Barzdins and Didzis Gosko. 2016 · 2016
Cited alongside, same era.
The meaning factory at semeval-2016 task 8: Producing amrs with boxer
Johannes Bjerva, Johan Bos, and Hessel Haagsma. 2016 · 2016
Cited alongside, same era.
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, and Yannick Versley. 2016 · 2016
Cited alongside, same era.
Deep biaffine attention for neural dependency parsing
Timothy Dozat and Christopher D Manning. 2016 · 2016
Cited alongside, same era.
Cmu at semeval-2016 task 8: Graph-based amr parsing with infinite ramp loss
Jeffrey Flanigan, Chris Dyer, Noah A. Smith, and Jaime Carbonell. 2016 · 2016
Cited alongside, same era.
Ucl+sheffield at semeval-2016 task 8: Imitation learning for amr parsing with an alpha-bound
James Goodman, Andreas Vlachos, and Jason Naradowsky. 2016 · 2016
Cited alongside, same era.
Later among the works it cites.
Neural amr: Sequence-to-sequence models for parsing and generation
Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, and Luke Zettlemoyer. 2017 · 2017
Later among the works it cites.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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Getting the most out of amr parsing
Chuan Wang and Nianwen Xue. 2017 · 2017
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What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
Alexis Conneau, Germán Kruszewski, Guillaume Lample, Loïc Barrault, and Marco Baroni. 2018 · 2018
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Cross-lingual abstract meaning representation parsing
Marco Damonte and Shay B. Cohen. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Simpler but more accurate semantic dependency parsing
Timothy Dozat and Christopher D. Manning. 2018 · 2018
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Amr dependency parsing with a typed semantic algebra
Jonas Groschwitz, Matthias Lindemann, Meaghan Fowlie, Mark Johnson, and Alexander Koller. 2018 · 2018
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Better transition-based amr parsing with a refined search space
Zhijiang Guo and Wei Lu. 2018 · 2018
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An AMR aligner tuned by transition-based parser
Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, and Ting Liu. 2018 · 2018
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Amr parsing as graph prediction with latent alignment
Chunchuan Lyu and Ivan Titov. 2018 · 2018
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Cross-lingual decompositional semantic parsing
Sheng Zhang, Xutai Ma, Rachel Rudinger, Kevin Duh, and Benjamin Van Durme. 2018 · 2018
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What do you learn from context? probing for sentence structure in contextualized word representations
Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R Thomas McCoy, Najoung Kim, Benjamin Van Durme, Sam Bowman, Dipanjan Das, and Ellie Pavlick. 2019 · 2019
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Deep multitask learning for semantic dependency parsing
Hao Peng, Sam Thomson, and Noah A. Smith. 2017a · 2048
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