The integration of syntactic parsing and semantic role labeling

CoNLL 2005 - Proceedings of the Ninth Conference on Computational Natural Language Learning

Volumn , Issue , 2005, Pages 237-240

  Yi, Szu Ting ^a   Palmer, Martha ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SEMANTICS;

PARSE TREES; SEMANTIC ARGUMENTS; SEMANTIC ROLE LABELING; SYNTACTIC PARSING; TRAINING CORPUS;

SYNTACTICS;

EID: 84862272582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1706543.1706590     Document Type: Conference Paper

References (9)

1. Eugene Charniak. 2000. A Maximum-Entropy-Inspired Parser. In Proceedings of NAACL-2000.
2. Michael Collins. 1999. Head-Driven Statistical Models for Natural Language Parsing. PhD Dissertation, University of Pennsylvania.
3. Daniel Gildea and Martha Palmer. 2002. The Necessity of Parsing for Predicate Argument Recognition. In Proceedings of ACL 2002, Philadelphia, USA.
4. Mitchell Marcus, Grace Kim, Mary Ann Marcinkiewicz, et al. 1994. The Penn Treebank: Annotating Predicate Argument Structure. In Proceedings of ARPA Speech and Natural Language Workshop.
5. Martha Palmer, Dan Gildea, and Paul Kingsbury. 2005. The Proposition Bank: An Annotated Corpus of Semantic Roles. Computational Linguistics, 31(1).
6. Pradhan, S., Hacioglu, K., Krugler, V., Ward, W., Martin, J., and Jurafsky, D. 2005. Support Vector Learning for Semantic Argument Classification. To appear in Machine Learning journal, Special issue on Speech and Natural Language Processing.
7. V. Punyakanok, D. Roth, W. Yih, and D. Zimak. 2004. Semantic Role Labeling via Integer Linear Programming Inference. In Proceedings of COLING.
8. Adwait Ratnaparkhi. 1999. Learning to Parse Natural Language with Maximum Entropy Models. Machine Learning, 34, 151-175.
9. Nianwen Xue and Martha Palmer. 2004. Calibrating Features for Semantic Role Labeling. In Proceedings of EMNLP.