Abstract
In this paper we present a proposal to help bypass the bottleneck of knowledge-based NLP systems having to work under a closed world assumption. We propose ways of reinterpreting static sources as active ones, by allowing a system to create new lexical entries on the fly, and investigate how to create new concepts on the fly. We argue that a computational lexical semantic approach is a sine qua non to work under an open world assumption. More specifically, we show how to create new lexicon entries using lexico-semantic rules and investigate how to create new concepts for unknown words, building a new model to trigger concepts in context.
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Viegas, E. (1999). Opening the World with Active Words and Concept Triggers. In: Viegas, E. (eds) Breadth and Depth of Semantic Lexicons. Text, Speech and Language Technology, vol 10. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0952-1_13
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DOI: https://doi.org/10.1007/978-94-017-0952-1_13
Publisher Name: Springer, Dordrecht
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