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Semantic dependency parsing of NomBank and PropBank: an efficient integrated approach via a large-scale feature selection

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Chunyu KitAuthors Info & Claims

EMNLP '09: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1

Pages 30 - 39

Published: 06 August 2009 Publication History

Abstract

We present an integrated dependency-based semantic role labeling system for English from both NomBank and PropBank. By introducing assistant argument labels and considering much more feature templates, two optimal feature template sets are obtained through an effective feature selection procedure and help construct a high performance single SRL system. From the evaluations on the date set of CoNLL-2008 shared task, the performance of our system is quite close to the state of the art. As to our knowledge, this is the first integrated SRL system that achieves a competitive performance against previous pipeline systems.

References

[1]

Xavier Carreras and Lluis Marquez. 2005. Introduction to the conll-2005 shared task: Semantic role labeling. In Proceedings of CoNLL-2005, pages 152--164, Ann Arbor, Michigan, USA.

Digital Library

[2]

Wanxiang Che, Zhenghua Li, Yuxuan Hu, Yongqiang Li, Bing Qin, Ting Liu, and Sheng Li. 2008. A cascaded syntactic and semantic dependency parsing system. In Proceedings of CoNLL-2008, pages 238--242, Manchester, England, August.

Digital Library

[3]

Wenliang Chen, Daisuke Kawahara, Kiyotaka Uchimoto, Yujie Zhang, and Hitoshi Isahara. 2008. Dependency parsing with short dependency relations in unlabeled data. In Proceedings of IJCNLP-2008, Hyderabad, India, January 8--10.

[4]

Massimiliano Ciaramita, Giuseppe Attardi, Felice Dell'Orletta, and Mihai Surdeanu. 2008. Desrl: A linear-time semantic role labeling system. In Proceedings of CoNLL-2008, pages 258--262, Manchester, England, August.

Digital Library

[5]

Hoa Trang Dang and Martha Palmer. 2005. The role of semantic roles in disambiguating verb senses. In Proceedings of ACL-2005, pages 42--49, Ann Arbor, USA.

Digital Library

[6]

Weiwei Ding and Baobao Chang. 2008. Improving chinese semantic role classification with hierarchical feature selection strategy. In Proceedings of EMNLP-2008, pages 324--323, Honolulu, USA.

Digital Library

[7]

Daniel Gildea and Daniel Jurafsky. 2002. Automatic labeling of semantic roles. Computational Linguistics, 28(3):245--288.

Digital Library

[8]

Jan Hajič, Massimiliano Ciaramita, Richard Johansson, Daisuke Kawahara, Maria Antònia Martí, Lluís Màrquez, Adam Meyers, Joakim Nivre, Sebastian Padó, Jan Štěpánek, Pavel Straňák, Mihai Surdeanu, Nianwen Xue, and Yi Zhang. 2009. The CoNLL-2009 shared task: Syntactic and semantic dependencies in multiple languages. In Proceedings of the 13th Conference on Computational Natural Language Learning (CoNLL-2009), June 4--5, pages 1--18, Boulder, Colorado, USA.

Digital Library

[9]

James Henderson, Paola Merlo, Gabriele Musillo, and Ivan Titov. 2008. A latent variable model of synchronous parsing for syntactic and semantic dependencies. In Proceedings of CoNLL-2008, pages 178--182, Manchester, England, August.

Digital Library

[10]

Zheng Ping Jiang and Hwee Tou Ng. 2006. Semantic role labeling of nombank: A maximum entropy approach. In Proceedings of EMNLP-2006, pages 138--145, Sydney, Australia.

Digital Library

[11]

Richard Johansson and Pierre Nugues. 2008. Dependency-based syntactic -- semantic analysis with propbank and nombank. In Proceedings of CoNLL-2008, page 183--187, Manchester, UK.

Digital Library

[12]

Terry Koo, Xavier Carreras, and Michael Collins. 2008. Simple semi-supervised dependency parsing. In Proceedings of ACL-08: HLT, pages 595--603, Columbus, Ohio, USA, June.

[13]

Peter Koomen, Vasin Punyakanok, Dan Roth, and Wen tau Yih. 2005. Generalized inference with multiple semantic role labeling systems. In Proceedings of CoNLL-2005, pages 181--184, Ann Arbor, Michigan, USA.

Digital Library

[14]

Chang Liu and Hwee Tou Ng. 2007. Learning predictive structures for semantic role labeling of nombank. In Proceedings of ACL-2007, pages 208--215, Prague, Czech.

[15]

Lluis Marquez, Mihai Surdeanu, Pere Comas, and Jordi Turmo. 2005. A robust combination strategy for semantic role labeling. In Proceedings of HLT/EMNLP-2005, page 644--651, Vancouver, Canada.

Digital Library

[16]

Ryan McDonald, Kevin Lerman, and Fernando Pereira. 2006. Multilingual dependency analysis with a two-stage discriminative parser. In Proceedings of CoNLL-X, New York City, June.

Digital Library

[17]

Adam Meyers, Ruth Reeves, Catherine Macleod, Rachel Szekely, Veronika Zielinska, Brian Young, and Ralph Grishman. 2004. The nombank project: An interim report. In Proceedings of HLT/NAACL Workshop on Frontiers in Corpus Annotation, pages 24--31, Boston, Massachusetts, USA, May 6.

[18]

Joakim Nivre and Ryan McDonald. 2008. Integrating graph-based and transition-based dependency parsers. In Proceedings of ACL-08: HLT, pages 950--958, Columbus, Ohio, June.

[19]

Martha Palmer, Daniel Gildea, and Paul Kingsbury. 2005. The proposition bank: An annotated corpus of semantic roles. Computational Linguistics, 31(1):71--106.

Digital Library

[20]

Sameer Pradhan, Wayne Ward, Kadri Hacioglu, James H. Martin, and Dan Jurafsky. 2004. Shallow semantic parsing using support vector machines. In Proceedings of HLT/NAACL-2004, pages 233--240, Boston, Massachusetts, USA.

[21]

Sameer Pradhan, Wayne Ward, Kadri Hacioglu, James H. Martin, and Daniel Jurafsky. 2005. Semantic role labeling using different syntactic views. In Proceedings of ACL-2005, pages 581--588, Ann Arbor, USA.

Digital Library

[22]

James Pustejovsky, Adam Meyers, Martha Palmer, and Massimo Poesio. 2005. Merging propbank, nombank, timebank, penn discourse treebank and coreference. In Proceedings of the Workshop on Frontiers in Corpus Annotations II: Pie in the Sky, pages 5--12, Ann Arbor, USA.

Digital Library

[23]

Mihai Surdeanu, Lluis Marquez, Xavier Carreras, and Pere R. Comas. 2007. Combination strategies for semantic role labeling. Journal of Artificial Intelligence Research, 29:105--151.

Digital Library

[24]

Mihai Surdeanu, Richard Johansson, Adam Meyers, Lluís Màrquez, and Joakim Nivre. 2008. The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies. In Proceedings of CoNLL-2008, pages 159--177, Manchester, UK.

Digital Library

[25]

Ivan Titov, James Henderson, Paola Merlo, and Gabriele Musillo. 2009. Online graph planarisation for synchronous parsing of semantic and syntactic dependencies. In IJCAI-2009, Pasadena, California, USA.

Digital Library

[26]

Kristina Toutanova, Aria Haghighi, and Christopher D. Manning. 2005. Joint learning improves semantic role labeling. In Proceedings of ACL-2005, pages 589--596, Ann Arbor, USA.

Digital Library

[27]

Nianwen Xue and Martha Palmer. 2004. Calibrating features for semantic role labeling. In Proceedings of EMNLP-2004, pages 88--94, Barcelona, Spain, July 25--26.

[28]

Nianwen Xue. 2006. Semantic role labeling of nominalized predicates in chinese. In Proceedings of NAACL-2006, pages 431--438, New York City, USA, June.

Digital Library

[29]

Hai Zhao and Chunyu Kit. 2008. Parsing syntactic and semantic dependencies with two single-stage maximum entropy models. In Proceeding of CoNLL-2008, pages 203--207, Manchester, UK.

Digital Library

[30]

Hai Zhao, Wenliang Chen, Jun'ichi Kazama, Kiyotaka Uchimoto, and Kentaro Torisawa. 2009a. Multilingual dependency learning: Exploiting rich features for tagging syntactic and semantic dependencies. In Proceedings of the 13th Conference on Computational Natural Language Learning (CoNLL-2009), June 4--5, pages 61--66, Boulder, Colorado, USA.

Digital Library

[31]

Hai Zhao, Wenliang Chen, Chunyu Kit, and Guodong Zhou. 2009b. Multilingual dependency learning: A huge feature engineering method to semantic dependency parsing. In Proceedings of CoNLL-2009, pages 55--60, Boulder, Colorado, USA.

Digital Library

Cited By

Munir KZhao HLi Z(2021)Neural Unsupervised Semantic Role LabelingACM Transactions on Asian and Low-Resource Language Information Processing10.1145/346161320:6(1-16)Online publication date: 12-Aug-2021
https://dl.acm.org/doi/10.1145/3461613
Wang RUtiyama MGoto ISumita EZhao HLu B(2016)Converting Continuous-Space Language Models into N-gram Language Models with Efficient Bilingual Pruning for Statistical Machine TranslationACM Transactions on Asian and Low-Resource Language Information Processing10.1145/284394215:3(1-26)Online publication date: 9-Jan-2016
https://dl.acm.org/doi/10.1145/2843942
Choi JPalmer MKim SKozareva ZNakov PSéaghdha DPadó SSzpakowicz S(2011)Transition-based semantic role labeling using predicate argument clusteringProceedings of the ACL 2011 Workshop on Relational Models of Semantics10.5555/2021153.2021159(37-45)Online publication date: 23-Jun-2011
https://dl.acm.org/doi/10.5555/2021153.2021159
Show More Cited By

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Semantic dependency parsing of NomBank and PropBank: an efficient integrated approach via a large-scale feature selection
1. Computing methodologies

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cover image DL Hosted proceedings

EMNLP '09: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1

August 2009

505 pages

ISBN:9781932432596

Program Chairs:
Philipp Koehn
University of Edinburgh
,
Rada Mihalcea
University of North Texas

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 06 August 2009

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Overall Acceptance Rate 73 of 234 submissions, 31%

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Cited By

Munir KZhao HLi Z(2021)Neural Unsupervised Semantic Role LabelingACM Transactions on Asian and Low-Resource Language Information Processing10.1145/346161320:6(1-16)Online publication date: 12-Aug-2021
https://dl.acm.org/doi/10.1145/3461613
Wang RUtiyama MGoto ISumita EZhao HLu B(2016)Converting Continuous-Space Language Models into N-gram Language Models with Efficient Bilingual Pruning for Statistical Machine TranslationACM Transactions on Asian and Low-Resource Language Information Processing10.1145/284394215:3(1-26)Online publication date: 9-Jan-2016
https://dl.acm.org/doi/10.1145/2843942
Choi JPalmer MKim SKozareva ZNakov PSéaghdha DPadó SSzpakowicz S(2011)Transition-based semantic role labeling using predicate argument clusteringProceedings of the ACL 2011 Workshop on Relational Models of Semantics10.5555/2021153.2021159(37-45)Online publication date: 23-Jun-2011
https://dl.acm.org/doi/10.5555/2021153.2021159
Liu PLi S(2011)A Corpus-Based Method to Improve Feature-Based Semantic Role LabelingProceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 0310.1109/WI-IAT.2011.182(205-208)Online publication date: 22-Aug-2011
https://dl.acm.org/doi/10.1109/WI-IAT.2011.182
Li SLu QZhao TLiu PLi HJoshi AHuang CJurafsky D(2010)Combining constituent and dependency syntactic views for Chinese semantic role labelingProceedings of the 23rd International Conference on Computational Linguistics: Posters10.5555/1944566.1944642(665-673)Online publication date: 23-Aug-2010
https://dl.acm.org/doi/10.5555/1944566.1944642
Zhang SZhao HZhou GLu BFarkas RVincze VSzarvas GMóra GCsirik J(2010)Hedge detection and scope finding by sequence labeling with normalized feature selectionProceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task10.5555/1870535.1870548(92-99)Online publication date: 15-Jul-2010
https://dl.acm.org/doi/10.5555/1870535.1870548

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