Question classification in English-Chinese cross-language question answering: An integrated Genetic Algorithm and Machine Learning approach

2007 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2007

Volumn , Issue , 2007, Pages 203-208

  Day, Min Yuh ^a,b,c   Ong, Chorng Shyong ^a,c   Hsu, Wen Lian ^a,b  

^a IEEE

^b INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^c NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOELECTRIC PHENOMENA; BOOLEAN FUNCTIONS; CLASSIFICATION (OF INFORMATION); DIESEL ENGINES; FORECASTING; GENETIC ALGORITHMS; INFORMATION USE; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; ROBOT LEARNING; ROOM AND PILLAR MINING; SUPPORT VECTOR MACHINES;

CONDITIONAL RANDOM FIELDS (CRF); CROSS LANGUAGE QUESTIONS; FEATURE SUBSET SELECTION (FSS); GENETIC ALGORITHM (GA); HYBRID METHODS; INFORMATION RE-USE; INTERNATIONAL CONFERENCES; MACHINE-LEARNING; PREDICTION MODELING; QUESTION ANSWERING (QA); QUESTION CLASSIFICATION; SUPPORT VECTOR MACHINES ((SVM));

LINGUISTICS;

EID: 47949120359     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IRI.2007.4296621     Document Type: Conference Paper

References (20)

1. CKIP, "CKIP AutoTag", http://ckip.iis.sinica.edu.tw/CKIP/, (Accessed: 2006).
2. M.-Y. Day, C.-W. Lee, S.-H. Wu, C.-S. Ong, and W.-L. Hsu, "An Integrated Knowledge-based and Machine Learning Approach for Chinese Question Classification", in Proceedings of the IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE 2005). Wuhan, China, 2005, pp. 620-625.
3. M.-Y. Day, C.-H. Lu, C.-S. Ong, S.-H. Wu, and W.-L. Hsu, "Integrating Genetic Algorithms with Conditional Random Fields to Enhance Question Informer Prediction", in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2006). Waikoloa, Hawaii, USA, 2006, pp. 414-419.
4. O. Feiguina and B. a. Kégl, "Learning to Classify Questions", in CLiNE (Computational Linguistics in the North-East), 2005.
5. V. Krishnan, S. Das, and S. Chakrabarti, "Enhanced Answer Type Inference from Questions using Sequential Models", in Proceedings of HLT/EMNLP. Vancouver, British Columbia, Canada, 2005, pp. 315-322.
6. T. Kudo, "CRF++: Yet Another CRF toolkit", http://chasen.org/ ̃taku/software/CRF++/, (Accessed: May 1, 2006).
7. K.-L. Kwok and P. Deng, "Chinese Question-Answering: Comparing Monolingual with English-Chinese Cross-Lingual Results", in Proceedings of the Asia Information Retrieval Symposium 2006 (AIRS 2006), 2006, pp. 244-257.
8. C.-W. Lee, C.-W. Shih, M.-Y. Day, T.-H. Tsai, T.-J. Jiang, C.-W. Wu, C.-L. Sung, Y.-R. Chen, S.-H. Wu, and W.-L. Hsu, "ASQA: Academia Sinica Question Answering System for NTCIR-5 CLQA", in Proceedings of NTCIR-5 Workshop. Tokyo, Japan, 2005, pp. 202-208.
9. X. Li and D. Roth, "Learning Question Classifiers", in Proceedings of the 19th International Conference on Computational Linguistics (COLING 2002), 2002.
10. B. Magnini, D. Giampiccolo, P. Forner, C. Ayache, V. Jijkoun, P. Osenova, A. Peñas, P. Rocha, B. Sacaleanu, and R. Sutcliffe, "Overview of the CLEF 2006 Multilingual Question Answering Track", in CLEF 2006 Working Notes, 2006.
11. J.-J. Mei, Y.-M. Zhu, Y.-Q. Gao, and H.-X. Yin, TongYiCi CiLin (Chinese Synonym Forest): Shanghai Press of Lexicon and Books, 1983.
12. D. Metzler and W. B. Croft, "Analysis of Statistical Question Classification for Fact-Based Questions", Information Retrieval, vol. 8, pp. 481-504, 2005.
13. L. Plamondon and G. Foster, "Quantum, a French/English Cross-language Question Answering System", in Proceedings of the Cross-Language Evaluation Forum (CLEF 2003). Trondheim, Norway, 2003.
14. J. D. M. Rennie and R. Rifkin, "Improving multiclass text clas-sification with the support vector machine", in MIT Artificial Intelligence Laboratory Publications, AIM-2001-026., 2001.
15. Y. Sasaki, H.-H. Chen, K.-H. Chen, and C.-J. Lin, "Overview of the NTCIR-5 Cross-Lingual Question Answering Task (CLQA1)", in Proceedings of NTCIR-5 Workshop Meeting Tokyo, Japan, 2005.
16. F. Sebastiani, "Machine learning in automated text categorization", ACM Computing Surveys, vol. 34, pp. 1-47, 2002.
17. T. Solorio, M. Pérez-Coutiño, M. Montes-y-Gómez, L. Villaseñor-Pineda, and A. López-López, "Question classification in Spanish and Portuguese", Lecture Notes in Computer Science, vol. 3406, pp. 612-619, 2005.
18. J. Suzuki, H. Taira, Y. Sasaki, and E. Maeda, "Question Classification using HDAG Kernel", in Workshop on Multilingual Summarization and Question Answering 2003 (post-conference workshop in conjunction with ACL-2003), 2003, pp. 61-68.
19. E. M. Voorhees and H. T. Dang, "Overview of the TREC 2005 Question Answering Track", in Prodeedings of The Fourteenth Text REtrieval Conference (TREC 2005), 2006.
20. D. Zhang and W. S. Lee, "Question classification using support vector machines", in Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Toronto, Canada, 2003, pp. 26-32.