Parse imputation for dependency annotations

ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference

Volumn 1, Issue , 2015, Pages 1385-1394

  Mielens, Jason ^a   Sun, Liang ^b   Baldridge, Jason ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b The University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SYNTACTICS;

DEPENDENCY PARSER; HARD TASK; STATE OF THE ART; SYNTACTIC ANNOTATION;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84943774871     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p15-1134     Document Type: Conference Paper

References (22)

1. S. Afonso, E. Bick, R. Haber, and D. Santos. 2002. "Floresta sintá(c)tica": a Treebank for Portuguese. In Proceedings of the 3rd International Conference on Language Resources and Evaluation (LREC), pages 1698-1703. LREC.
2. Phil Blunsom and Trevor Cohn. 2010. Unsupervised induction of tree substitution grammars for dependency parsing. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 1204-1213. Association for Computational Linguistics.
3. Jason Eisner and Giorgio Satta. 1999. Efficient parsing for bilexical context-free grammars and head automaton grammars. In Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics, pages 457-464. Association for Computational Linguistics.
4. Dan Garrette and Jason Baldridge. 2013. Learning a part-of-speech tagger from two hours of annotation. In HLT-NAACL, pages 138-147. Citeseer.
5. Rebecca Hwa. 1999. Supervised grammar induction using training data with limited constituent information. In Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics, pages 73-79. Association for Computational Linguistics.
6. Mark Johnson, Thomas L Griffiths, and Sharon Goldwater. 2007. Bayesian inference for PCFGs via Markov chain Monte Carlo. In Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics, pages 139-146.
7. Dan Klein and Christopher DManning. 2004. Corpusbased induction of syntactic structure: Models of dependency and constituency. In Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, page 478. Association for Computational Linguistics.
8. Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, and Noah A Smith. 2014. A dependency parser for tweets. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, Doha, Qatar, to appear.
9. Mitchell P Marcus, Mary Ann Marcinkiewicz, and Beatrice Santorini. 1993. Building a large annotated corpus of English: The Penn Treebank. Computational linguistics, 19(2):313-330.
10. David Marecek and Milan Straka. 2013. Stopprobability estimates computed on a large corpus improve unsupervised dependency parsing. In ACL (1), pages 281-290.
11. André FT Martins, Noah A Smith, Eric P Xing, Pedro MQ Aguiar, and Mário AT Figueiredo. 2010. Turbo parsers: Dependency parsing by approximate variational inference. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 34-44. Association for Computational Linguistics.
12. Michael T. Mordowanec, Nathan Schneider, Chris Dyer, and Noah A Smith. 2014. Simplified dependency annotations with GFL-Web. ACL 2014, page 121.
13. Tahira Naseem, Harr Chen, Regina Barzilay, and Mark Johnson. 2010. Using universal linguistic knowledge to guide grammar induction. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 1234-1244. Association for Computational Linguistics.
14. Fernando Pereira and Yves Schabes. 1992. Insideoutside reestimation from partially bracketed corpora. In Proceedings of the 30th annual meeting on Association for Computational Linguistics, pages 128-135. Association for Computational Linguistics.
15. Nathan Schneider, Brendan OConnor, Naomi Saphra, David Bamman, Manaal Faruqui, Noah A Smith, Chris Dyer, and Jason Baldridge. 2013. A framework for (under) specifying dependency syntax without overloading annotators. LAW VII & ID, page 51.
16. Valentin I Spitkovsky, Hiyan Alshawi, and Daniel Jurafsky. 2010a. From baby steps to leapfrog: How less is more in unsupervised dependency parsing. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 751-759. Association for Computational Linguistics.
17. Valentin I Spitkovsky, Daniel Jurafsky, and Hiyan Alshawi. 2010b. Profiting from mark-up: Hyper-Text annotations for guided parsing. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 1278-1287. Association for Computational Linguistics.
18. Valentin I Spitkovsky, Hiyan Alshawi, and Daniel Jurafsky. 2011. Punctuation: Making a point in unsupervised dependency parsing. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 19-28. Association for Computational Linguistics.
19. Valentin I Spitkovsky, Hiyan Alshawi, and Daniel Jurafsky. 2012. Three dependency-And-boundary models for grammar induction. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages 688-698. Association for Computational Linguistics.
20. Liang Sun, Jason Mielens, and Jason Baldridge. 2014. Parsing low-resource languages using Gibbs sampling for PCFGs with latent annotations. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics.
21. Kristina Toutanova, Dan Klein, Christopher D Manning, and Yoram Singer. 2003. Feature-rich part-ofspeech tagging with a cyclic dependency network. In Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology-Volume 1, pages 173-180. Association for Computational Linguistics.
22. Naiwen Xue, Fei Xia, Fu-Dong Chiou, and Marta Palmer. 2005. The Penn Chinese TreeBank: Phrase structure annotation of a large corpus. Natural language engineering, 11(02):207-238.