Empirical methods in information extraction

AI Magazine

Volumn 18, Issue 4, 1997, Pages 65-79

  Cardie, Claire ^a  

^a Department of Population Medicine and Diagnostic Sciences   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; FEATURE EXTRACTION; KNOWLEDGE ACQUISITION; LEARNING ALGORITHMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

INFORMATION EXTRACTION;

LEARNING SYSTEMS;

EID: 0031360033     PISSN: 07384602     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (4)

1. Aone, C., and Bennett, W. 1995. Evaluating Automated and Manual Acquisition of Anaphora Resolution Strategies. In Proceedings of the Thirty-Third Annual Meeting of the Association for Computational Linguistics, 122-129. Somerset, N.J.: Association for Computational Linguistics.
2. Craven, M.; Freitag, D.; McCallum, A.; Mitchell, T.; Nigam, K.; and Quek, C. Y. 1997. Learning to Extract Symbolic Knowledge from the World Wide Web, Internal report, School of Computer Science, Carnegie Mellon University.
3. Kim, J.-T., and Moldovan, D. I. 1995. Acquisition of Linguistic Patterns for Knowledge-Based Information Extraction. IEEE Transactions on Knowledge and Data Engineering 7(5): 713-724.
4. Lehnert, W. 1990. Symbolic-Subsymbolic Sentence Analysis: Exploiting the Best of Two Worlds. In Advances in Connectionist and Neural Computation Theory, eds. J. Barnden and J. Pollack, 135-164. Norwood, N.J.: Ablex.