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

Simple item page
dc.creatorHess, Michael
dc.date1999-12-23
dc.date.accessioned2026-07-07T03:24:30Z
dc.date.available2026-07-07T03:24:30Z
dc.descriptionA 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.
dc.description29 pages
dc.identifierhttps://arxiv.org/abs/cs/9912017
dc.identifierhttp://arxiv.org/abs/cs/9912017
dc.identifierInternational Journal on Artificial Intelligence Tools (IJAIT), vol 6, no 4, 1997. 481-509
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/33348
dc.subjectComputation and Language
dc.subjectH.3.1; I.2.3; I.2.7
dc.titleMixed-Level Knowledge Representation and Variable-Depth Inference in Natural Language Processing
dc.typetext

Files

Collections

arXiv