Proceedings of Frame Semantics in NLP: A Workshop in Honor of Chuck Fillmore (1929-2014) 2014
DOI: 10.3115/v1/w14-3006
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Bridging Text and Knowledge with Frames

Abstract: FrameNet is the best currently operational version of Chuck Fillmore's Frame Semantics. As FrameNet has evolved over the years, we have been building a series of increasingly ambitious prototype systems that exploit FrameNet as a semantic resource. Results from this work point to frames as a natural representation for applications that require linking textual meaning to world knowledge.

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Cited by 2 publications
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“…There has been considerable debate on what constitutes a paraphrase, in particular with respect to the amount of conceptual knowledge that may be involved -see Schreyer (1978) for a general discussion and Chang et al (2002) and Narayanan (2014) for FrameNet-specific discussions. Hasegawa et al (2011) take a relatively conservative approach and restrict themselves mostly to what they call language-based paraphrases.…”
Section: Introductionmentioning
confidence: 99%
“…There has been considerable debate on what constitutes a paraphrase, in particular with respect to the amount of conceptual knowledge that may be involved -see Schreyer (1978) for a general discussion and Chang et al (2002) and Narayanan (2014) for FrameNet-specific discussions. Hasegawa et al (2011) take a relatively conservative approach and restrict themselves mostly to what they call language-based paraphrases.…”
Section: Introductionmentioning
confidence: 99%
“…Although there is a body of work dealing with how knowledge bases like FrameNet can be used for NLP (e.g. Agarwal et al, 2014;Baker, 2014;Narayanan, 2014), FunGramKB is currently the only knowledge base which provides an environment for the computational management of constructional characterizations at all major levels of meaning construction (cf. section 3).…”
Section: Introductionmentioning
confidence: 99%