Karin Kipper
ABSTRACT
This paper presents a detailed account of prepositional mismatch between our handcrafted verb lexicon and a semantically annotated corpus. The analysis of these mismatches allows us to refine the lexicon and to create a more robust resource capable of better semantic predictions based on the verb-preposition relations.
- Norman I. Badler, Martha Palmer, and Rama Bindiganavale. 1999. Animation control for real-time virtual humans. Communications of the ACM, 42(7):65--73. Google Scholar
Digital Library
- Collin F. Baker, Charles J. Fillmore, and John B. Lowe. 1998. The Berkeley FrameNet project. In Proceedings of the 17th International Conference on Computational Linguistics (COLING/ACL-98), pages 86--90, Montreal. ACL. Google ScholarDigital Library
- Rama Bindiganavale, William Schuler, Jan M. All-beck, Norman I. Badler, Aravind K. Joshi, and Martha Palmer. 2000. Dynamically Altering Agent Behaviors Using Natural Language Instructions. Fourth International Conference on Autonomous Agents, June. Google ScholarDigital Library
- Hoa Trang Dang, Karin Kipper, and Martha Palmer. 2000. Integrating compositional semantics into a verb lexicon. In Proceedings of the Eighteenth International Conference on Computational Linguistics (COLING-2000), Saarbrücken, Germany, July-August. Google ScholarDigital Library
- Christiane Fellbaum, editor. 1998. WordNet: An Electronic Lexical Database. Language, Speech and Communications. MIT Press, Cambridge, Massachusetts.Google Scholar
- Karen Sparck Jones and Branimir Boguraev. 1987. A note on a study of cases. American Journal of Computational Linguistics, 13(1--2)):65--68. Google ScholarDigital Library
- Paul Kingsbury and Martha Palmer. 2002. From treebank to propbank. In Proceedings of the 3rd International Conference on Language Resources and Evaluation (LREC-2002), Las Palmas, Canary Islands, Spain.Google Scholar
- Karin Kipper, Hoa Trang Dang, and Martha Palmer. 2000. Class-based construction of a verb lexicon. In Proceedings of the Seventh National Conference on Artificial Intelligence (AAAI-2000), Austin, TX, July-August. Google ScholarDigital Library
- Karin Kipper, Benjamin Snyder, and Martha Palmer. 2004. Extending a verb-lexicon using a semantically annotated corpus. In Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC-04), Lisbon, Portugal.Google Scholar
- Beth Levin. 1993. English Verb Classes and Alternation, A Preliminary Investigation. The University of Chicago Press.Google Scholar
- Mitch Marcus. 1994. The penn treebank: A revised corpus design for extracting predicate-argument structure. In Proceedings of the ARPA Human Language Technology Workshop, Princeton, NJ, March. Google ScholarDigital Library
- George Miller. 1985. Wordnet: A dictionary browser. In Proceedings of the First International Conference on Information in Data, Waterloo, Ontario.Google Scholar
- M. Moens and M. Steedman. 1988. Temporal Ontology and Temporal Reference. Computational Linguistics, 14:15--38. Google ScholarDigital Library
- XTAG Research Group. 2001. A lexicalized tree adjoining grammar for english. Technical Report IRCS-01-03, IRCS, University of Pennsylvania.Google Scholar
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