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Ontologies for NLP:
To appear in Proc. ASIS SIG/CR Classification
Research Workshop: An Interdisciplinary Meeting. October 8, 1995,
Chicago IL.
Semantic Classification for Practical Natural Language
Processing
Kavi Mahesh and Sergei Nirenburg
Computing Research Laboratory
Box 30001, Dept. 3CRL
New Mexico State University
Las Cruces, NM 88003-8001 USA
(505) 646-5466 FAX: (505) 646-6218
mahesh@crl.nmsu.edu, sergei@crl.nmsu.edu
Abstract:
In the field of natural language processing (NLP) there is now a
consensus that all NLP systems that seek to represent and manipulate
meanings of texts need an ontology, that is a taxonomic classification
of concepts in the world to be used as semantic primitives. In our
continued efforts to build a multilingual knowledge-based machine
translation (KBMT) system using an interlingual meaning
representation, we have developed an ontology to facilitate natural
language interpretation and generation. The central goal of the
Mikrokosmos project is to develop a computer system that produces a
comprehensive Text Meaning Representation (TMR) for an input text in
any of a set of source languages. Knowledge that supports this process
is stored both in language-specific knowledge sources (such as a
lexicon) and in an independently motivated, language-neutral ontology
of concepts in the world.
Keywords: Semantic classification, ontology, concept,
knowledge representation, natural language processing, machine
translation, world model, meaning representation.
Kavi Mahesh
Sun Nov 12 15:30:14 MST 1995