Feature extraction for learning to classify questions

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

Volumn 3339, Issue , 2004, Pages 1069-1075

  Cheung, Zhalaing ^a   Phan, Khanh Linh ^a   Mahidadia, Ashesh ^a   Hoffmann, Achim ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Decision tree learning; Feature extraction for text classification; Na ve Bayes Classifier; Question classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION MAKING; DECISION THEORY; LEARNING ALGORITHMS; LEARNING SYSTEMS; TEXT PROCESSING; TREES (MATHEMATICS);

DECISION TREE LEARNING; FEATURE EXTRACTION FOR TEXT CLASSIFICATION; NAÏVE BAYES CLASSIFIER; QUESTION CLASSIFICATION;

FEATURE EXTRACTION;

EID: 22944492407     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30549-1_103     Document Type: Conference Paper

References (10)

1. Hermjakob, U. Parsing and Question Classification for Question Answering, Proceedings of the Workshop on Open-Domain Question Answering at ACL-2001.
2. Hovy E. et al. Question Answering in Webclopedia. In Proceedings of the TREC-9 Conference, NIST 2001.
3. Lewis, David. Feature Selection and Feature Extraction for Text Categorization, Proceedings of Speech and Natural Language Workshop, pp. 212-217, Morgan Kaufmann, 1992.
4. Xin Li, Dan Roth, Learning Question Classifiers, Proceedings of COLING 2002.
5. Suzuki, Y. Keyword Extraction using term-Domain Interdependence for Dictation of Radio News, Proceedings of COLING 1998, pp. 1272-1276.
6. Littlestone, N.: Learning Quickly When Irrelevant Attributes Abound: A New Linear-threshold Algorithm. Machine Learning, 2(4): 285-318 (1987).
7. Hovy, E. et al. Toward semantics-based answer pinpointing. In proceedings of the DARPA Human Language Technology conference (HLT), San Diego, CA 2001.
8. Light, M. et al. Analyses for Elucidating Current Question Answering Technology. Journal for Natural Language Engineering, 2001.
9. The University of Waikato. Weka 3 - Data Mining with Open Source Machine Learning Software. http://www.cs.waikato.ac.nz/~ml/weka, 1999-2000.
10. Zhang, D. and Lee, W.S., Question classification using support vector machines, Proceedings of the 26th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 26-32, 2003.