A text filter for the automatic identification of empirical articles

Journal of the American Society for Information Science

Volumn 47, Issue 2, 1996, Pages 167-169

  Haas, Stephanie W ^a   Sugarman, Jeremy ^b   Tibbo, Helen R ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b DUKE UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIBLIOGRAPHIC RETRIEVAL SYSTEMS; DATABASE SYSTEMS; INDEXING (OF INFORMATION); NATURAL SCIENCES;

ARTICLE IDENTIFICATION; TEXT CATEGORIZATION SYSTEM;

INFORMATION RETRIEVAL;

EID: 0030083572     PISSN: 00028231     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-4571(199602)47:2<167::AID-ASI8>3.0.CO;2-X     Document Type: Article

References (5)

1. Apté, C., Damerau. F., & Weiss, S. (1994). Automated learning of decision rules for text categorization. Information Processing & Management, 12, 233-251.
2. Hayes, P., Knecht, L., & Cellio, M. (1988). A news story categorization system. Proceedings of the Second Conference on Applied Natural Language Processing, 9-17.
3. Lewis, D. (1992). Text filtering in MUC-3 and MUC-4. In Sundheim, B. (Ed.). Proceedings of the Fourth Message Understanding Conference. 51-66.
4. O'Neill, A. L., & Haas, S. W. (1993). The study of "this study": Using vocabulary to distinguish research and professional articles in the nursing literature. Unpublished proposal.
5. Riloff. E., & Lehnert, W. (1994). Information extraction as a basis for high-precision text classification. Information Processing & Management. 12, 296-333.