WordFrameNet is an ongoing work aiming to integrate FrameNet and WordNet. In that way we expect to extend FrameNet coverage, to enrich WordNet with frame semantic information and possibly to extend FrameNet to languages other than English. The method uses a knowledge-based Word Sense Disambiguation algorithm for matching the FrameNet lexical units to WordNet synsets. Specifically, we exploit a graph-based Word Sense Disambiguation algorithm that uses a large-scale knowledge-base derived from existing semantic resources. We have developed and tested additional versions of this algorithm showing substantial improvements over state-of-the-art results.
After the the integration of WordNet and FrameNet, we have extended WordFrameNet enlarging the coverage of the original FrameNet lexicon and automatically building new local wordframenets for other languages by using the wordnets integrated in the Multilingual Central Repository (MCR).
This package is distributed under Attribution 3.0 Unported (CC BY 3.0) license. You can find it at http://creativecommons.org/licenses/by/3.0
Laparra E. and Rigau G. Integrating WordNet and FrameNet using a knowledge-based Word Sense Disambiguation algorithm. Proceedings of Recent Advances in Natural Language Processing (RANLP09). Borovets, Bulgaria, September, 2009.
Laparra E., Rigau G. and Cuadros M. Exploring the integration of WordNet and FrameNet. Proceedings of the 5th Global WordNet Conference (GWC'10), Mumbai, India. January, 2010.
Laparra E. and Rigau G.eXtended WordFrameNet. 7th international conference on Language Resources and Evaluation (LREC'10). La Valetta, Malta. 2010.