(Almost) Automatic Semantic Feature Extraction from Technical Text
MISSISSIPPI STATE UNIV MISSISSIPPI STATE DEPT OF COMPUTER SCIENCE
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Acquisition of semantic information is necessary for proper understanding of natural language text. Such information is often domain-specific in nature and must be acquired from the domain. This causes a problem whenever a natural language processing NLP system is moved from one domain to another. The portability of an NLP system can be improved if these semantic features can be acquired with limited human intervention. This paper proposes an approach towards almost automatic semantic feature extraction.
- Information Science