Paper: (Almost) Automatic Semantic Feature Extraction From Technical Text

ACL ID H94-1075
Title (Almost) Automatic Semantic Feature Extraction From Technical Text
Venue Human Language Technologies
Session Main Conference
Year 1994
Authors

Acquisition of semantic information is necessary for proper understanding of natural language text. Such information is often domain-speclfic in nature and must be acquized from the domain. This causes a problem whenever a natural fan- guage 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 ];mited hu- man intervention. This paper proposes an approach towards (almost) automatic semantic feature extraction.