Learning to identify definitions using syntactic features

EACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics - Proceedings of the Workshop on Learning Structured Information in Natural Language Applications

Volumn , Issue , 2006, Pages 64-71

  Fahmi, Ismail ^a   Bouma, Gosse ^a  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; MAXIMUM ENTROPY METHODS; NATURAL LANGUAGE PROCESSING SYSTEMS; SYNTACTICS;

APPROACHES TO LEARNING; CONCEPT DEFINITIONS; ENTROPY CLASSIFIERS; MAXIMUM-ENTROPY; SYNTACTIC FEATURES; SYNTACTIC PROPERTIES; WIKIPEDIA;

TEXT PROCESSING;

EID: 84922039510     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. I. Androutsopoulos and D. Galanis. 2005. A practically unsupervised learning method to identify single-snippet answers to definition questions on the web. In Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT-EMNLP 2005), Vancouver, Canada.
2. S. Blair-Goldensohn, K. McKeown, and A.H. Schlaikjer. 2004. Answering definitional questions: A hybrid approach. In New Directions in Question An- swering, pages 47-58.
3. Gosse Bouma, Jori Mur, Gertjan van Noord, Lonneke van der Plas, and Jörg Tiedemann. 2005. Question answering for Dutch using dependency relations. In Working Notes for the CLEF 2005 Workshop, Vienna.
4. Chih-Chung Chang and Chih-Jen Lin, 2001. LIB- SVM: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.
5. Marti A. Hearst. 1992. Automatic acquisition of hyponyms from large text corpora. In Proc. of the 14th COLING, pages 539-545, Nantes, France.
6. W. Hildebrandt, B. Katz, and J.J. Lin. 2004. Answering definition questions with multiple knowledge sources. In HLT-NAACL, pages 49-56.
7. Jin Huang, Jingjing Lu, and Charles X. Ling. 2003. Comparing naive bayes, decision trees, and svm with auc and accuracy. In ICDM '03: Proceedings of the Third IEEE International Conference on Data Mining, Washington, DC, USA. IEEE Computer Society.
8. Thorsten Joachims. 1998. Text categorization with support vector machines: learning with many relevant features. In Claire N'edellec and C'eline Rouveirol, editors, Proceedings of ECML-98, 10th Euro- pean Conference on Machine Learning, pages 137-142, Chemnitz, DE. Springer Verlag, Heidelberg, DE.
9. H. Joho and M. Sanderson. 2000. Retrieving descriptive phrases from large amounts of free text. In CIKM, pages 180-186.
10. S. Sathiya Keerthi and Chih-Jen Lin. 2003. Asymptotic behaviors of support vector machines with gaussian kernel. Neural Comput., 15(7):1667-1689.
11. J.L. Klavans and S. Muresan. 2000. Definder: Rulebased methods for the extraction of medical terminology and their associated definitions from on-line text. In American Medical Informatics Assoc 2000.
12. Ron Kohavi. 1995. A study of cross-validation and bootstrap for accuracy estimation and model selection. In IJCAI, pages 1137-1145.
13. David D. Lewis. 1998. Naive (Bayes) at forty: The independence assumption in information retrieval. In Claire Nédellec and Céline Rouveirol, editors, Pro- ceedings of ECML-98, 10th European Conference on Machine Learning, pages 4-15, Chemnitz, DE. Springer Verlag, Heidelberg, DE.
14. B. Liu, C.W. Chin, and H.T. Ng. 2003. Mining topicspecific concepts and definitions on the web. In WWW '03: Proceedings of the 12th international conference on World Wide Web, pages 251-260, New York, NY, USA. ACM Press.
15. Robert Malouf and Gertjan van Noord. 2004. Wide coverage parsing with stochastic attribute value grammars. In IJCNLP-04 Workshop Beyond Shal- low Analyses - Formalisms and statistical modeling for deep analyses, Hainan.
16. A McCallum. 2000. Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering. http://www.cs.cmu.edu/ mccallum/bow.
17. S. Miliaraki and I. Androutsopoulos. 2004. Learning to identify single-snippet answers to definition questions. In 20th International Conference on Compu- tational Linguistics (COLING 2004), pages 1360-1366, Geneva, Switzerland. COLING 2004.
18. K. Nigam, J. Lafferty, and A. McCallum. 1999. Using maximum entropy for text classification. In IJCAI- 99 Workshop on Machine Learning for Information Filtering, pages 61-67.
19. Juan C. Sager and M.C. L'Homme. 1994. A model for definition of concepts. Terminology, pages 351-374.
20. Erik Tjong Kim Sang, Gosse Bouma, and Maarten de Rijke. 2005. Developing offline strategies for answering medical questions. In Diego Mollá and José Luis Vicedo, editors, AAAI 2005 workshop on Question Answering in Restricted Domains.