Knowledge Representation for Lexical Semantics: Is Standard First Order Logic Enough?
摘要
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.
引用
@article{arxiv.cmp-lg/9412004,
title = {Knowledge Representation for Lexical Semantics: Is Standard First Order Logic Enough?},
author = {Marc Light and Lenhart Schubert},
journal= {arXiv preprint arXiv:cmp-lg/9412004},
year = {2008}
}
备注
Presented at the "Future of the Dictionary" workshop, Grenoble, France (October, 1994), 12 pages PostScript