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Deduction over mixed-level logic representations for text passage retrieval


Hess, M (1996). Deduction over mixed-level logic representations for text passage retrieval. In: 1996 International Conference on Tools with Artificial Intelligence (TAI'96), Toulouse, France, November 1996 - November 1996, 383-390.

Abstract

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.

Abstract

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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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:November 1996
Deposited On:20 Jun 2009 09:27
Last Modified:04 Aug 2018 05:26
Additional Information:© 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
OA Status:Green
Publisher DOI:https://doi.org/10.1109/TAI.1996.560480

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