Knowledge Representation for Lexical Semantics: Is Standard First Order Logic Enough?
<|reference_start|>Knowledge Representation for Lexical Semantics: Is Standard First Order Logic Enough?: 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.<|reference_end|>
@article{light1994knowledge,
    title={Knowledge Representation for Lexical Semantics: Is Standard First Order
  Logic Enough?},
    author={Marc Light and Lenhart Schubert (University of Rochester)},
    journal={arXiv preprint arXiv:cmp-lg/9412004},
    year={1994},
    archivePrefix={arXiv},
    eprint={cmp-lg/9412004},
    primaryClass={cmp-lg cs.CL}
}