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Mixed-Level Knowledge Representation and Variable-Depth Inference in Natural Language Processing

Michael Hess
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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.

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Michael Hess. 1999-12-23. Mixed-Level Knowledge Representation and Variable-Depth Inference in Natural Language Processing. https://arxiv.org/abs/cs/9912017

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