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Our work involves enriching the Stack-LSTM transition-based AMR parser (Ballesteros and Al-Onaizan, 2017) by augmenting training with Policy Learning and rewarding the Smatch score of sampled graphs.
Amr parsing as sequence-to-graph transduction
Sheng Zhang, Xutai Ma, Kevin Duh, and Benjamin Van Durme. 2019 · 1905
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams. 1992 · 1992
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An efficient algorithm for projective dependency parsing
Joakim Nivre. 2003 · 2003
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Statistical dependency analysis with support vector machines
Hiroyasu Yamada and Yuji Matsumoto. 2003 · 2003
Earlier work this paper cites.
Learning as search optimization: Approximate large margin methods for structured prediction
Hal Daumé III and Daniel Marcu. 2005 · 2005
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Algorithms for deterministic incremental dependency parsing
Joakim Nivre. 2008 · 2008
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Search-based structured prediction
Hal Daumé III, John Langford, and Daniel Marcu. 2009 · 2009
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Training with exploration improves a greedy stack lstm parser
Miguel Ballesteros, Yoav Goldberg, Chris Dyer, and Noah A. Smith. 2016 · 2010
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A dynamic oracle for arc-eager dependency parsing
Yoav Goldberg and Joakim Nivre. 2012 · 2012
Earlier work this paper cites.
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
Earlier work this paper cites.
Smatch: an evaluation metric for semantic feature structures
Shu Cai and Kevin Knight. 2013 · 2013
Earlier work this paper cites.
Training deterministic parsers with non-deterministic oracles
Yoav Goldberg and Joakim Nivre. 2013 · 2013
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
A discriminative graph-based parser for the abstract meaning representation
Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, Chris Dyer, and Noah A Smith. 2014 · 2014
Earlier work this paper cites.
Aligning english strings with abstract meaning representation graphs
Nima Pourdamghani, Yang Gao, Ulf Hermjakob, and Kevin Knight. 2014 · 2014
Earlier work this paper cites.
Improved transition-based parsing by modeling characters instead of words with LSTMs
Miguel Ballesteros, Chris Dyer, and Noah A. Smith. 2015 · 2015
Cited alongside, same era.
Learning to map dependency parses to abstract meaning representations
Wei-Te Chen. 2015 · 2015
Cited alongside, same era.
Transition-based dependency parsing with stack long short-term memory
Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, and Noah A. Smith. 2015 · 2015
Cited alongside, same era.
Two/too simple adaptations of word2vec for syntax problems
Wang Ling, Chris Dyer, Alan W Black, and Isabel Trancoso. 2015 · 2015
Cited alongside, same era.
Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
Cited alongside, same era.
Boosting transition-based AMR parsing with refined actions and auxiliary analyzers
Abstract meaning representation parsing using lstm recurrent neural networks
William Foland and James H Martin. 2017 · 2017
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Dynet: The dynamic neural network toolkit
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, and Pengcheng Yin. 2017 · 2017
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Weakly supervised cross-lingual named entity recognition via effective annotation and representation projection
Jian Ni, Georgiana Dinu, and Radu Florian. 2017 · 2017
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Neural semantic parsing by character-based translation: Experiments with abstract meaning representations
Rik van Noord and Johan Bos. 2017 · 2017
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Chuan Wang, Nianwen Xue, and Sameer Pradhan. 2015a · 2015
Cited alongside, same era.
A transition-based algorithm for amr parsing
Chuan Wang, Nianwen Xue, and Sameer Pradhan. 2015b · 2015
Cited alongside, same era.
Chenhui Chu and Sadao Kurohashi. 2016 · 2016
Cited alongside, same era.
An incremental parser for abstract meaning representation
Marco Damonte, Shay B Cohen, and Giorgio Satta. 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.
Noise reduction and targeted exploration in imitation learning for abstract meaning representation parsing
James Goodman, Andreas Vlachos, and Jason Naradowsky. 2016 · 2016
Cited alongside, same era.
Semeval-2016 task 8: Meaning representation parsing
Jonathan May. 2016 · 2016
Cited alongside, same era.
Romain Paulus, Caiming Xiong, and Richard Socher. 2017 · 2017
Later among the works it cites.
Self-critical sequence training for image captioning
Steven J Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, and Vaibhava Goel. 2017 · 2017
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Getting the most out of amr parsing
Chuan Wang and Nianwen Xue. 2017 · 2017
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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
Later among the works it cites.
Better transition-based amr parsing with a refined search space
Zhijiang Guo and Wei Lu. 2018 · 2018
Later among the works it cites.
An amr aligner tuned by transition-based parser
Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, and Ting Liu. 2018 · 2018
Later among the works it cites.
Amr parsing as graph prediction with latent alignment
Chunchuan Lyu and Ivan Titov. 2018 · 2018
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Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Neural cross-lingual entity linking
Avirup Sil, Gourab Kundu, Radu Florian, and Wael Hamza. 2018 · 2018
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A structured syntax-semantics interface for english-amr alignment
Ida Szubert, Adam Lopez, and Nathan Schneider. 2018 · 2018
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A transition-based algorithm for unrestricted amr parsing
David Vilares and Carlos Gómez-Rodríguez. 2018 · 2018
Later among the works it cites.