eXtended WordFrameNet

This paper presents a novel automatic approach to partially 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. Finally, we show some examples and figures of the resulting semantic resource.

• Type: Conference
• Year: 2010
• Where: LREC
• Authors: Egoitz Laparra, German Rigau
• Keywords: Education, LREC 2010, Semantic Resource, Sense Disambiguation Algorithm, Word Sense Disambiguation