Knowledge Representation for Lexical Semantics: Is Standard First Order Logic Enough?
| dc.creator | Light, Marc | |
| dc.creator | Schubert, Lenhart | |
| dc.date | 1994-12-10 | |
| dc.date.accessioned | 2026-07-07T09:09:41Z | |
| dc.date.available | 2026-07-07T09:09:41Z | |
| dc.description | 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. | |
| dc.description | Presented at the "Future of the Dictionary" workshop, Grenoble, France (October, 1994), 12 pages PostScript | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9412004 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9412004 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/151123 | |
| dc.subject | Computation and Language | |
| dc.title | Knowledge Representation for Lexical Semantics: Is Standard First Order Logic Enough? | |
| dc.type | text |