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We evaluate the character-level translation method for neural semantic parsing on a large corpus of sentences annotated with Abstract Meaning Representations (AMRs).
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[] Basile, Valerio, Johan Bos, Kilian Evang, and Noortje Venhuizen (2012), Developing a large semantically annotated corpus, Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC 2012)
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[] Le, Phong and Willem Zuidema (2012), Learning Compositional Semantics for Open Domain Semantic Parsing, Proceedings of COLING 2012
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[] Cai, Shu and Kevin Knight (2013), Smatch: an Evaluation Metric for Semantic Feature Structures, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
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[] Flanigan, Jeffrey, Sam Thomson, Jaime Carbonell, Chris Dyer, and Noah A. Smith (2014), A Discriminative Graph-Based Parser for the Abstract Meaning Representation, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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[] Santos, Cicero D and Bianca Zadrozny (2014), Learning character-level representations for part-of-speech tagging, Proceedings of the 31st International Conference on Machine Learning (ICML-14)
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[] Sutskever, Ilya, Oriol Vinyals, and Quoc V Le (2014), Sequence to sequence learning with neural networks, Advances in neural information processing systems
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[] Artzi, Yoav, Kenton Lee, and Luke Zettlemoyer (2015), Broad-coverage CCG Semantic Parsing with AMR, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
2015
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[] Bos, Johan (2015), Open-Domain Semantic Parsing with Boxer, in
2015
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[] Luong, Thang, Hieu Pham, and Christopher D. Manning (2015), Effective Approaches to Attention-based Neural Machine Translation, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
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[] Pust, Michael, Ulf Hermjakob, Kevin Knight, Daniel Marcu, and Jonathan May (2015), Parsing English into abstract meaning representation using syntax-based machine translation, Training
http://www.aclweb.org/anthology/W16-2316
[] Junczys-Dowmunt, Marcin, Tomasz Dwojak, and Rico Sennrich (2016), The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMT, Proceedings of the First Conference on Machine Translation · 2016
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[] May, Jonathan (2016), SemEval-2016 Task 8: Meaning Representation Parsing, Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
2016
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[] Abzianidze, Lasha, Johannes Bjerva, Kilian Evang, Hessel Haagsma, Rik van Noord, Pierre Ludmann, Duc-Duy Nguyen, and Johan Bos (2017), The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
2017
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[] Bos, Johan, Valerio Basile, Kilian Evang, Noortje Venhuizen, and Johannes Bjerva (2017), The Groningen Meaning Bank, in
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2015
Cited alongside, same era.
[] Wang, Chuan, Nianwen Xue, and Sameer Pradhan (2015), A Transition-based Algorithm for AMR Parsing, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
2015
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[] Zhang, Xiang, Junbo Zhao, and Yann LeCun (2015), Character-level convolutional networks for text classification, Advances in neural information processing systems
2015
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[] Barzdins, Guntis and Didzis Gosko (2016), RIGA at SemEval-2016 Task 8: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing Accuracy, Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
2016
Cited alongside, same era.
[] Bjerva, Johannes, Johan Bos, and Hessel Haagsma (2016), The Meaning Factory at SemEval-2016 Task 8: Producing AMRs with Boxer, Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
2016
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[] Chung, Junyoung, Kyunghyun Cho, and Yoshua Bengio (2016), NYU-MILA Neural Machine Translation Systems for WMT16, Proceedings of the First Conference on Machine Translation
2016
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[] Dong, Li and Mirella Lapata (2016), Language to Logical Form with Neural Attention, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
2016
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[] Flanigan, Jeffrey, Chris Dyer, Noah A Smith, and Jaime Carbonell (2016), CMU at SemEval-2016 task 8: Graph-based AMR parsing with infinite ramp loss, Proceedings of SemEval
2016
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[] Damonte, Marco, Shay B. Cohen, and Giorgio Satta (2017), An Incremental Parser for Abstract Meaning Representation, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
2017
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[] Denkowski, Michael and Graham Neubig (2017), Stronger Baselines for Trustable Results in Neural Machine Translation, Proceedings of the First Workshop on Neural Machine Translation
2017
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[] Foland, William and James H. Martin (2017), Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
2017
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2017
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2017
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[] Peng, Xiaochang, Chuan Wang, Daniel Gildea, and Nianwen Xue (2017), Addressing the Data Sparsity Issue in Neural AMR Parsing, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
2017
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[] van Noord, Rik and Johan Bos (2017), The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing, Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
2017
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http://anthology.aclweb.org/P16-2067
[] Plank, Barbara, Anders Søgaard, and Yoav Goldberg (2016), Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · 2067
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