Abstract
Most on-line lexicons contain only syntactic information. Semantic information is usually stored elsewhere, in a form inconsistent with the representation of the syntactic information. This paper reports on research toward developing a large on-line lexicon from machine-readable dictionaries, which contains both syntactic and semantic information in a uniform style. The fundamental theory is that of the relational lexicon; we describe relational lexicons, discuss our extensions to the usual theory of relational lexicons, rehearse very quickly some of the relations we are dealing with, and show how information for some simple entries is stored.
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Nutter, J.T. (1990). Representing Knowledge About Words. In: Smeaton, A.F., McDermott, G. (eds) AI and Cognitive Science ’89. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3164-9_19
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DOI: https://doi.org/10.1007/978-1-4471-3164-9_19
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