A semi-supervised algorithm for pattern discovery in information extraction from textual data

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2637, Issue , 2003, Pages 117-123

  Wu, Tianhao ^a   Pottenger, William M ^a  

^a Lehigh University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION EXTRACTION; SEMI SUPERVISED ALGORITHMS; TEXTUAL DATA; PATTERN DISCOVERY; REGULAR EXPRESSIONS; SEMI-SUPERVISED; SEMI-SUPERVISED ALGORITHM; TESTING PERFORMANCE; TRAINING DATA; TRAINING SETS;

ALGORITHMS; DATA REDUCTION; PERFORMANCE; TEXT PROCESSING; COMPUTER PROGRAMMING LANGUAGES; INFORMATION ANALYSIS; INFORMATION RETRIEVAL; PATTERN MATCHING;

INFORMATION ANALYSIS; DATA MINING;

EID: 7444227515     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36175-8_12     Document Type: Conference Paper

References (7)

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2. Eric Brill: Pattern-Based Disambiguation for Natural Language Processing. Proceedings of Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora. (EMNLP/VLC-2000)
3. Christopher D. Manning and Hinrich Schütze: Foundations of Statistical Natural Language Processing, MIT Press. (2000)
4. Van Rijsbergen: Information Retrieval. Butterworths, London. (1979)
5. Michael Chau, Jennifer J. Xu, Hsinchun Chen: Extracting Meaningful Entities from Police Narrative Reports. Proceedings of the National Conference for Digital Government Research. Los Angeles, California. (2002)
6. Tianhao Wu, and William M. Pottenger: An extended version of "A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data". Lehigh University Computer Science and Engineering Technical Report LU-CSE-03-001. (2003)
7. Hopcroft, J. and J. Ullman: Introduction to Automata Theory, Languages and Computation. Addison-Wesley. (1979)