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We propose a transition-based approach that, by training a single model, can efficiently parse any input sentence with both constituent and dependency trees, supporting both continuous/projective and discontinuous/non-projective syntactic structures.
Building a large annotated corpus of English: The Penn Treebank
Marcus, M.P., Santorini, B., Marcinkiewicz, M.A., 1993 · 1993
Earlier work this paper cites.
Multitask learning
Caruana, R., 1997 · 1997
Earlier work this paper cites.
An annotation scheme for free word order languages, in: Proceedings of the Fifth Conference on Applied Natural Language Processing, Association for Computational Linguistics, Stroudsburg, PA, USA. pp. 88–95
Skut, W., Krenn, B., Brants, T., Uszkoreit, H., 1997 · 1997
Earlier work this paper cites.
Head-Driven Statistical Models for Natural Language Parsing
Collins, M., 1999 · 1999
Earlier work this paper cites.
TIGER treebank, in: Proceedings of the 1st Workshop on Treebanks and Linguistic Theories (TLT), pp. 24–42
Brants, S., Dipper, S., Hansen, S., Lezius, W., Smith, G., 2002 · 2002
Earlier work this paper cites.
Head-driven statistical models for natural language parsing
Collins, M., 2003 · 2003
Earlier work this paper cites.
Probabilistic parsing for German using sister-head dependencies, in: Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Sapporo, Japan. pp. 96–103
Dubey, A., Keller, F., 2003 · 2003
Earlier work this paper cites.
Continuous or discontinuous constituents? a comparison between syntactic analyses for constituent order and their processing systems
Müller, S., 2004 · 2004
Earlier work this paper cites.
The penn chinese treebank: Phrase structure annotation of a large corpus
Xue, N., Xia, F., Chiou, F.d., Palmer, M., 2005 · 2005
Earlier work this paper cites.
The Stanford typed dependencies representation, in: Coling 2008: Proceedings of the workshop on Cross-Framework and Cross-Domain Parser Evaluation, Coling 2008 Organizing Committee, Manchester, UK. pp. 1–8
de Marneffe, M.C., Manning, C.D., 2008 · 2008
Earlier work this paper cites.
A tale of two parsers: Investigating and combining graph-based and transition-based dependency parsing, in: Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Honolulu, Hawaii. pp. 562–571
Zhang, Y., Clark, S., 2008 · 2008
Earlier work this paper cites.
Treebank-Based Grammar Acquisition for German
Rehbein, I., 2009 · 2009
Earlier work this paper cites.
Supertagging-based parsing with linear context-free rewriting systems
Mörbitz, R., Ruprecht, T., 2020 · 2010
Earlier work this paper cites.
Syntax-enhanced pre-trained model
Xu, Z., Guo, D., Tang, D., Su, Q., Shou, L., Gong, M., Zhong, W., Quan, X., Duan, N., Jiang, D., 2021 · 2012
Earlier work this paper cites.
Overview of the SPMRL 2013 shared task: A cross-framework evaluation of parsing morphologically rich languages, in: Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages, Association for Computational Linguistics, Seattle, Washington, USA. pp. 146–182
Seddah, D., Tsarfaty, R., Kübler, S., Candito, M., Choi, J.D., Farkas, R., Foster, J., Goenaga, I., Gojenola Galletebeitia, K., Goldberg, Y., Green, S., Habash, N., Kuhlmann, M., Maier, W., Nivre, J., Przepiórkowski, A., Roth, R., Seeker, W., Versley, Y., Vincze, V., Woliński, M., Wróblewska, A., Villemonte de la Clergerie, E., 2013 · 2013
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Bahdanau, D., Cho, K., Bengio, Y., 2014 · 2014
Earlier work this paper cites.
Multilingual discriminative shift-reduce phrase structure parsing for the spmrl 2014 shared task
Crabbé, B., 2014 · 2014
Earlier work this paper cites.
Multilingual discriminative lexicalized phrase structure parsing, in: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Lisbon, Portugal. pp. 1847–1856
Crabbé, B., 2015 · 2015
Earlier work this paper cites.
Parsing as reduction, in: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics), Association for Computational Linguistics, Beijing, China. pp. 1523–1533
Fernández-González, D., Martins, A.F.T., 2015 · 2015
Earlier work this paper cites.
Syntactic polygraphs. a formalism extending both constituency and dependency, in: Proceedings of the 14th Meeting on the Mathematics of Language (MoL 2015), Association for Computational Linguistics, Chicago, USA. pp. 152–164
Kahane, S., Mazziotta, N., 2015 · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma, D.P., Ba, J., 2014 · 2015
Earlier work this paper cites.
Two/too simple adaptations of Word2Vec for syntax problems, in: Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, Denver, Colorado. pp. 1299–1304
Ling, W., Dyer, C., Black, A.W., Trancoso, I., 2015 · 2015
Earlier work this paper cites.
Discontinuous incremental shift-reduce parsing, in: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Beijing, China. pp. 1202–1212
Maier, W., 2015 · 2015
Earlier work this paper cites.
Pointer networks, in: Cortes, C., Lawrence, N.D., Lee, D.D., Sugiyama, M., Garnett, R. (Eds.), Advances in Neural Information Processing Systems 28. Curran Associates, Inc., pp. 2692–2700
Vinyals, O., Fortunato, M., Jaitly, N., 2015 · 2015
Earlier work this paper cites.
Bi-directional attention with agreement for dependency parsing, in: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics. pp. 2204–2214
Cheng, H., Fang, H., He, X., Gao, J., Deng, L., 2016 · 2016
Earlier work this paper cites.
Data-oriented parsing with discontinuous constituents and function tags
van Cranenburgh, A., Scha, R., Bod, R., 2016 · 2016
Earlier work this paper cites.
Span-based constituency parsing with a structure-label system and provably optimal dynamic oracles, in: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Austin, Texas. pp. 1–11
Cross, J., Huang, L., 2016 · 2016
Cited alongside, same era.
Recurrent neural network grammars, in: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, San Diego, California. pp. 199–209
Dyer, C., Kuncoro, A., Ballesteros, M., Smith, N.A., 2016 · 2016
Cited alongside, same era.
Distilling an ensemble of greedy dependency parsers into one mst parser, in: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics. pp. 1744–1753
Kuncoro, A., Ballesteros, M., Kong, L., Dyer, C., Smith, N.A., 2016 · 2016
Cited alongside, same era.
End-to-end sequence labeling via bi-directional lstm-cnns-crf, in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics. pp. 1064–1074
Discontinuous constituency parsing with a stack-free transition system and a dynamic oracle, in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, Minneapolis, Minnesota. pp. 204–217
Coavoux, M., Cohen, S.B., 2019 · 2019
Later among the works it cites.
Unlexicalized transition-based discontinuous constituency parsing
Coavoux, M., Crabbé, B., Cohen, S.B., 2019 · 2019
Later among the works it cites.
BERT: Pre-training of deep bidirectional transformers for language understanding, in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), Association for Computational Linguistics, Minneapolis, Minnesota. pp. 4171–4186
Devlin, J., Chang, M.W., Lee, K., Toutanova, K., 2019 · 2019
Later among the works it cites.
Left-to-right dependency parsing with pointer networks, in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, Minneapolis, Minnesota. pp. 710–716
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Ma, X., Hovy, E., 2016 · 2016
Cited alongside, same era.
Discontinuous parsing with continuous trees, in: Proceedings of the Workshop on Discontinuous Structures in Natural Language Processing, Association for Computational Linguistics, San Diego, California. pp. 47–57
Maier, W., Lichte, T., 2016 · 2016
Cited alongside, same era.
Discontinuity (re) 2
Versley, Y., 2016 · 2016
Cited alongside, same era.
Graph-based dependency parsing with bidirectional lstm, in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics. pp. 2306–2315
Wang, W., Chang, B., 2016 · 2016
Cited alongside, same era.
Probabilistic graph-based dependency parsing with convolutional neural network, in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics, Berlin, Germany. pp. 1382–1392
Zhang, Z., Zhao, H., Qin, L., 2016 · 2016
Cited alongside, same era.
Incremental discontinuous phrase structure parsing with the GAP transition, in: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, Valencia, Spain. pp. 1259–1270
Coavoux, M., Crabbé, B., 2017 · 2017
Cited alongside, same era.
Efficient discontinuous phrase-structure parsing via the generalized maximum spanning arborescence, in: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Copenhagen, Denmark. pp. 1644–1654
Corro, C., Le Roux, J., Lacroix, M., 2017 · 2017
Cited alongside, same era.
Deep biaffine attention for neural dependency parsing, in: ICLR, OpenReview.net
Dozat, T., Manning, C.D., 2017 · 2017
Cited alongside, same era.
Neural probabilistic model for non-projective mst parsing, in: Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Asian Federation of Natural Language Processing. pp. 59–69
Ma, X., Hovy, E., 2017 · 2017
Cited alongside, same era.
Fernández-González, D., Gómez-Rodríguez, C., 2019 · 2019
Later among the works it cites.
Graph-based dependency parsing with graph neural networks, in: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Florence, Italy. pp. 2475–2485
Ji, T., Wu, Y., Lan, M., 2019 · 2019
Later among the works it cites.
Multilingual constituency parsing with self-attention and pre-training, in: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Florence, Italy. pp. 3499–3505
Kitaev, N., Cao, S., Klein, D., 2019 · 2019
Later among the works it cites.
From pos tagging to dependency parsing for biomedical event extraction
Nguyen, D.Q., Verspoor, K., 2019 · 2019
Later among the works it cites.
Viable dependency parsing as sequence labeling, in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), Association for Computational Linguistics, Minneapolis, Minnesota. pp. 717–723
Strzyz, M., Vilares, D., Gómez-Rodríguez, C., 2019b · 2019
Later among the works it cites.
Improving tree-based neural machine translation with dynamic lexicalized dependency encoding
Yang, B., Wong, D.F., Chao, L.S., Zhang, M., 2020 · 2019
Later among the works it cites.
Syntax-enhanced neural machine translation with syntax-aware word representations, in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), Association for Computational Linguistics, Minneapolis, Minnesota. pp. 1151–1161
Zhang, M., Li, Z., Fu, G., Zhang, M., 2019 · 2019
Later among the works it cites.
Head-driven phrase structure grammar parsing on Penn treebank, in: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Florence, Italy. pp. 2396–2408
Zhou, J., Zhao, H., 2019 · 2019
Later among the works it cites.
Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(nˆ6) down to O(nˆ3), in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, Online. pp. 2753–2764
Corro, C., 2020 · 2020
Closest in time.
Discontinuous constituent parsing with pointer networks, in: Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, New York, NY, USA, February 7-12, 2020, AAAI Press. pp. 7724–7731
Fernández-González, D., Gómez-Rodríguez, C., 2020 · 2020
Closest in time.
Global greedy dependency parsing, in: the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020)
Li, Z., Zhao, H., Parnow, K., 2020 · 2020
Closest in time.
Span-based LCFRS-2 parsing, in: Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, Association for Computational Linguistics, Online. pp. 111–121
Stanojević, M., Steedman, M., 2020 · 2020
Closest in time.
Discontinuous constituent parsing as sequence labeling, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, Online. pp. 2771–2785
Vilares, D., Gómez-Rodríguez, C., 2020 · 2020
Closest in time.
Syntax-aware opinion role labeling with dependency graph convolutional networks, in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Online. pp. 3249–3258
Zhang, B., Zhang, Y., Wang, R., Li, Z., Zhang, M., 2020a · 2020
Closest in time.
Dependency-based syntax-aware word representations
Zhang, M., Li, Z., Fu, G., Zhang, M., 2021 · 2020
Closest in time.
Efficient second-order TreeCRF for neural dependency parsing, in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Online. pp. 3295–3305
Zhang, Y., Li, Z., Zhang, M., 2020b · 2020
Closest in time.
Syntax-BERT: Improving pre-trained transformers with syntax trees, in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, Online. pp. 3011–3020
Bai, J., Wang, Y., Chen, Y., Yang, Y., Bai, J., Yu, J., Tong, Y., 2021 · 2021
Closest in time.
StructSum: Summarization via structured representations, in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, Online. pp. 2575–2585
Balachandran, V., Pagnoni, A., Lee, J.Y., Rajagopal, D., Carbonell, J., Tsvetkov, Y., 2021 · 2021
Closest in time.
Reducing discontinuous to continuous parsing with pointer network reordering
Fernández-González, D., Gómez-Rodríguez, C., 2021 · 2021
Closest in time.
Do syntax trees help pre-trained transformers extract information?, in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, Online. pp. 2647–2661
Sachan, D., Zhang, Y., Qi, P., Hamilton, W.L., 2021 · 2021
Closest in time.
A unified span-based approach for opinion mining with syntactic constituents, in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, Online. pp. 1795–1804
Xia, Q., Zhang, B., Wang, R., Li, Z., Zhang, Y., Huang, F., Si, L., Zhang, M., 2021 · 2021
Closest in time.
Policy gradient as a proxy for dynamic oracles in constituency parsing, in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Association for Computational Linguistics, Melbourne, Australia. pp. 469–476
Fried, D., Klein, D., 2018 · 2075
Closest in time.