Learning word meanings by instruction

  • Authors:
  • Kevin Knight

  • Affiliations:
  • Information Sciences Institute and Computer Science Department, University of Southern California, Marina del Rey, CA

  • Venue:
  • AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
  • Year:
  • 1996

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Abstract

We develop techniques for learning the meanings of unknown words in context. Working within a compositional semantics framework, we write down equations in which a sentence's meaning is some combination function of the meaning of its words. When one of the words is unknown, we ask for a paraphrase of the sentence. We then compute the meaning of the unknown word by inverting parts of the semantic combination function. This technique can be used to learn word-concept mappings, decomposed meanings, and mappings between syntactic and semantic roles. It works for all parts of speech.