Knowledge Representation for Lexical Semantics: Is Standard First Order Logic Enough?

Details Knowledge Representation for Lexical Semantics: Is Standard First Order Logic Enough? Knowledge Representation for Lexical Semantics: Is Standard First Order Logic Enough?

1994-12-10

arxiv.org/abs/cmp-lg/9412004v1

Computer Science

Computation and Language

Presented at the "Future of the Dictionary" workshop, Grenoble, France (October, 1994), 12 pages PostScript

Scientific paper

Natural language understanding applications such as interactive planning and face-to-face translation require extensive inferencing. Many of these inferences are based on the meaning of particular open class words. Providing a representation that can support such lexically-based inferences is a primary concern of lexical semantics. The representation language of first order logic has well-understood semantics and a multitude of inferencing systems have been implemented for it. Thus it is a prime candidate to serve as a lexical semantics representation. However, we argue that FOL, although a good starting point, needs to be extended before it can efficiently and concisely support all the lexically-based inferences needed.

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