Reranking a wide-coverage CCG parser

Australasian Language Technology Association Workshop 2010, ALTA 2010 - Proceedings

Volumn , Issue , 2021, Pages 90-98

  Ng, Dominick ^a   Honnibal, Matthew ^a   Curran, James R ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GRAMMARS;

COMBINATORY CATEGORIAL GRAMMAR; F-SCORE; FEATURE-BASED; LABELLED DEPENDENCIES; RE-RANKING; STATISTICAL PARSER;

DYNAMIC PROGRAMMING;

EID: 80053242990     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. Johan Bos, Stephen Clark, Mark Steedman, James R. Curran, and Julia Hockenmaier. 2004. Wide-Coverage Semantic Representations from a CCG Parser. In Proceedings of the 20th International Conference on Computational Linguistics (COLING-04), pages 1240-1246, Geneva, Switzerland, August.
2. Johan Bos, James R. Curran, and Edoardo Guzzetti. 2007. The Pronto QA system at TREC-2007: Harvesting Hyponyms, Using Nominalisation Patterns, and Computing Answer Cardinality. In Proceedings of the Sixteenth Text REtrieval Conference (TREC 2007), pages 726-732, Gaitersburg, Maryland, USA.
3. Forrest Brennan. 2008. k-best Parsing Algorithms for a Natural Language Parser. Master's thesis, University of Oxford.
4. Eugene Charniak and Mark Johnson. 2005. Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL-05), pages 173-180, Ann Arbor, Michigan, USA, June.
5. Nancy Chinchor. 1992. The statistical significance of the MUC-4 results. In Proceedings of the Fourth Message Understanding Conference (MUC-4), pages 30-50, McLean, Virginia, June.
6. Stephen Clark and James R. Curran. 2007. Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models. Computational Linguistics, 33(4):493-552.
7. Michael Collins. 1999. Head-Driven Statistical Models for Natural Language Parsing. Ph.D. thesis, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
8. Michael Collins. 2000. Discriminative Reranking for Natural Language Parsing. In Proceedings of the 17th International Conference on Machine Learning (ICML-00), pages 175-182, Palo Alto, California, USA, June.
9. Steve DeNeefe and Kevin Knight. 2009. Synchronous Tree Adjoining Machine Translation. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP-09), pages 727-736, Singapore, August.
10. Abdessamad Echihabi and Daniel Marcu. 2003. A Noisy-Channel Approach to Question Answering. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (ACL-03), pages 16-23, Sapporo, Japan, July.
11. Daniel Gildea and Daniel Jurafsky. 2002. Automatic Labeling of Semantic Roles. Computational Linguistics, 28(3):245-288.
12. Julia Hockenmaier and Mark Steedman. 2007. CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank. Computational Linguistics, 33(3):355-396.
13. Julia Hockenmaier. 2003. Parsing with Generative Models of Predicate-Argument Structure. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (ACL-03), pages 359-366, Sapporo, Japan, July.
14. Liang Huang and David Chiang. 2005. Better k-best Parsing. In Proceedings of the Ninth International Workshop on Parsing Technology (IWPT-05), pages 53-64, Vancouver, British Columbia, Canada, October.
15. Liang Huang. 2008. Forest Reranking: Discriminative Parsing with Non-Local Features. In Proceedings of the Human Language Technology Conference at the 45th Annual Meeting of the Association for Computational Linguistics (HLT/ACL-08), pages 586-594, Columbus, Ohio, June.
16. Mark Johnson and Ahmet Engin Ural. 2010. Reranking the Berkeley and Brown Parsers. In Proceedings of Human Language Technologies: the 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL-10), pages 665-668, Los Angeles, California, USA, June.
17. Dan Klein and Christopher D. Manning. 2001. Parsing and Hypergraphs. In Proceedings of the 7th International Workshop on Parsing Technologies (IWPT-01), Beijing, China, October.
18. Mitchell P. Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz. 1993. Building a Large Annotated Corpus of English: The Penn Treebank. Computational Linguistics, 19(2):313-330.
19. David McClosky, Eugene Charniak, and Mark Johnson. 2006. Effective Self-Training for Parsing. In Proceedings of the 2006 Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics (HLT/NAACL-06), pages 152-159, New York City, New York, USA, June.
20. Slav Petrov, Leon Barrett, Romain Thibaux, and Dan Klein. 2006. Learning Accurate, Compact, and Interpretable Tree Annotation. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING/ACL-06), pages 433-440, Sydney, Australia, July.
21. Laura Rimell, Stephen Clark, and Mark Steedman. 2009. Unbounded Dependency Recovery for Parser Evaluation. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP-09), pages 813-821, Singapore, August.
22. Federico Sangati, Willem Zuidema, and Rens Bod. 2009. A generative re-ranking model for dependency parsing. In Proceedings of the 11th International Conference on Parsing Technologies (IWPT-09), pages 238-241, Paris, France, October.
23. Libin Shen, Anoop Sarkar, and Franz Josef Och. 2004. Discriminative Reranking for Machine Translation. In Proceedings of the 2004 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL-04), pages 177-184, Boston, Massachusetts, USA, May.
24. Mark Steedman. 2000. The Syntactic Process. MIT Press, Cambridge, Massachusetts, USA.
25. Michael White and Rajakrishnan Rajkumar. 2009. Perceptron Reranking for CCG Realization. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP-09), pages 410-419, Singapore, August.