Word Frame Disambiguation: Evaluating Linguistic Linked Data on Frame Detection
نویسندگان
چکیده
The usefulness of FrameNet is affected by its limited coverage and non-standard semantics. This paper presents some strategies based on Linguistic Linked Open Data to fully exploit and broaden its coverage. These strategies lead to the creation of a novel resource, Framester, which serves as a hub between FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, as well as other resources. We also present a Word Frame Disambiguation, an application performing frame detection from text using Framester as a base. The results are comparable in precision to the state-of-the-art machine learning tool, but with a much higher coverage.
منابع مشابه
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Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model that takes lexical targets (i.e., content words and phrases) in their sentential contexts and predicts frame-semantic structures. Given a target in context, the first stage disambiguates it to a semantic frame. ...
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