About the Project

FrameNet is a collaborative research effort in which a team of linguists, lexicographers, and computer scientists, in the US and abroad, are creating a new kind of online lexicon capable of serving both NLP applications and ordinary human users. The project aims to build detailed semantic descriptions of a substantial portion of the English lexicon, in which each entry is coded for computational use, described in terms of its semantic and syntactic combinatorial properties, provided with corpus-based data on the relative frequencies of its senses and valence alternatives, and linked to annotated corpus examples.

The FrameNet project, funded by the National Science Foundation (NSF IRI-9618838, "Tools for Lexicon Building"), is centered in the International Computer Science Institute in Berkeley, California, with subcontracted research on frequency and metaphor detection carried on at the University of Colorado under Daniel Jurafsky; European advisers and collaborators are Sue Atkins, Oxford University Press, and Ulrich Heid, University of Stuttgart.

This clickable image shows FrameNet's structure:

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