Abstract
This paper describes our work in integrating three different lexical resources: FrameNet, VerbNet, and WordNet, into a unified, richer knowledge-base, to the end of enabling more robust semantic parsing. The construction of each of these lexical resources has required many years of laborious human effort, and they all have their strengths and shortcomings. By linking them together, we build an improved resource in which (1) the coverage of FrameNet is extended, (2) the VerbNet lexicon is augmented with frame semantics, and (3) selectional restrictions are implemented using WordNet semantic classes. The synergistic exploitation of various lexical resources is crucial for many complex language processing applications, and we prove it once again effective in building a robust semantic parser.
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Baker, C., Ruppenhofer, J.: Framenet’s frames versus Levin’s verb classes. In: Proceedings of the 28th Annual Meeting of the Berkeley Linguistics Society (2002)
Gildea, D., Jurafsky, D.: Automatic labeling of semantic roles. In: Proceedings of the 38th Annual Conference of the Association for Computational Linguistics (ACL 2000), Hong Kong, October 2000, pp. 512–520 (2000)
Johnson, C., Fillmore, C., Petruck, M., Baker, C., Ellsworth, M., Ruppenhofer, J., Wood, E.: FrameNet: Theory and Practice (2002), http://www.icsi.berkeley.edu/~framenet
Kingsbury, P., Palmer, M., Marcus, M.: Adding semantic annotation to the Penn TreeBank. In: Proceedings of the Human Language Technology Conference HLT 2002, San Diego, California (2002)
Kipper, K., Dang, H.T.: Palmer, M.: Class-based construction of a verb lexicon. In: Proceedings of Seventeenth National Conference on Artificial Intelligence AAAI 2000, Austin,TX (July 2000)
Levin, B.: English Verb Classes and Alternation: A Preliminary Investigation. The University of Chicago Press, Chicago (1993)
Miller, G.: Wordnet: A lexical database. Communication of the ACM 38(11), 39–41 (1995)
Shi, L., Mihalcea, R.: An algorithm for open text semantic parsing. In: Proceedings of the ROMAND 2004 workshop on Robust Methods in Analysis of Natural language Data, Geneva, Switzerland (August 2004)
Shi, L., Mihalcea, R.: Semantic parsing using FrameNet and WordNet. In: Proceedings of the Human Language Technology Conference (HLT/NAACL 2004), Boston (May 2004)
Swier, R., Stevenson, S.: Unsupervised semantic role labelling. In: Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2004), Barcelona, Spain (2004)
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© 2005 Springer-Verlag Berlin Heidelberg
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Shi, L., Mihalcea, R. (2005). Putting Pieces Together: Combining FrameNet, VerbNet and WordNet for Robust Semantic Parsing. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_9
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DOI: https://doi.org/10.1007/978-3-540-30586-6_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24523-0
Online ISBN: 978-3-540-30586-6
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