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Mixed-Level Knowledge Representations and Variable-Depth In...
Mixed-Level Knowledge Representations and Variable-Depth Inference in Natural Language Processing
Publication type:
article
Authors:
M Hess
Abstract:
A system is described that uses a mixed-level knowledge representation based on standard Horn Clause Logic to represent (part of) the meaning of natural language documents. A variable-depth search strategy is outlined that distinguishes between the different levels of abstraction in the knowledge representation to locate specific passages in the documents. A detailed description of the linguistic aspects of the system is given. Mixed-level representations as well as variable-depth search strategies are applicable in fields outside that of NLP.
Title:
Mixed-Level Knowledge Representations and Variable-Depth Inference in Natural Language Processing
Year:
1997
journal:
International Journal on Artificial Intelligence Tools (IJAIT)
pages:
481-509
volume:
6
number:
4
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