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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings No
Title Deduction over Mixed-Level Logic Representations for Text Passage Retrieval
Authors
  • Michael Hess
Item Subtype Original Work
Refereed Yes
Status Published in final form
Page Range 383 - 390
Event Title Proceedings of the 1996 International Conference on Tools with Artificial Intelligence (TAI'96)
Place of Publication Toulouse, France
Abstract Text A system is described that uses a mixed-level representation of (part of) the meaning of natural language documents (based on standard Horn Clause Logic) and a variable-depth search strategy that distinguishes between the different levels of abstraction in the knowledge representation to locate specific passages in the documents. Mixed-level representations as well as variable-depth search strategies are applicable in fields outside that of NLP.
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