INCREMENTAL VOCABULARY EXTENSIONS IN TEXT UNDERSTANDING SYSTEMS

Autor(en): LUDEWIG, P
Stichwörter: Computer Science; Computer Science, Artificial Intelligence
Erscheinungsdatum: 1991
Herausgeber: SPRINGER VERLAG
Journal: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Volumen: 546
Startseite: 153
Seitenende: 166
Zusammenfassung: 
Natural language understanding systems which have to prove good in interesting applications cannot manage without some mechanism for dealing with lexical gaps. In this paper four strategies appropriate for goal-directed vocabulary extensions - `contextual' specification, use of morphological rules, access to external lexica and interactive user input - are outlined, directing the principal attention to the exploitation of machine-readable versions of conventional dictionaries (MRDs). These mechanisms complement each other as they are geared to different types of unknown words and may be used recursively. A temporary lexicon is introduced to cope with the uncertainty and partiality of the so-gained lexical information. The treatment of unknown words presented in this paper contributes to overcoming the bottleneck concerning lexical and, to some degree, conceptual knowledge.

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