Most attempts to integrate FrameNet in NLP systems have so far failed because of its limited coverage. In this paper, we investigate the applicability of distributional and WordNet-based models on the task of lexical unit induction, i.e. the expansion of FrameNet with new lexical units. Experimental results show that our distributional and WordNet-based models achieve good level of accuracy and coverage, especially when combined. © 2008 Association for Computational Linguistics.
Pennacchiotti, M., DE CAO, D., Basili, R., Croce, D., Roth, M. (2008). Automatic induction of FrameNet lexical units. In EMNLP 2008 - 2008 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference: A Meeting of SIGDAT, a Special Interest Group of the ACL (pp.457-465).
Automatic induction of FrameNet lexical units
DE CAO, DIEGO;BASILI, ROBERTO;CROCE, DANILO;
2008-08-01
Abstract
Most attempts to integrate FrameNet in NLP systems have so far failed because of its limited coverage. In this paper, we investigate the applicability of distributional and WordNet-based models on the task of lexical unit induction, i.e. the expansion of FrameNet with new lexical units. Experimental results show that our distributional and WordNet-based models achieve good level of accuracy and coverage, especially when combined. © 2008 Association for Computational Linguistics.| File | Dimensione | Formato | |
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