Using tree kernels for classifying temporal relations between events

PACLIC 23 - Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation

Volumn 1, Issue , 2009, Pages 355-364

  Mirroshandel, Seyed Abolghasem ^a   Ghassem Sani, Gholamreza ^a   Khayyamian, Mahdy ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Classification; Information retrieval; Temporal relations between events; Text mining

Indexed keywords

AUTOMATICALLY GENERATED; KERNEL FUNCTION; NATURAL LANGUAGE PROCESSING; PERFORMANCE IMPROVEMENTS; QUESTION ANSWERING; STATE-OF-THE-ART METHODS; SVM CLASSIFICATION; SYNTACTIC FEATURES; TEMPORAL RELATION; TEXT MINING; TREE KERNELS;

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; DATA MINING; GOLD; INFORMATION RETRIEVAL; SUPPORT VECTOR MACHINES; SYNTACTICS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 77956022716     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (23)

1. Abe, S., K. Inui, and Y. Matsumoto. 2008. Two-phased event relation acquisition coupling the relation-oriented and argument-oriented approaches. In Proceedings of the 22nd International Conference on Computational Linguistics, pp.1-8.
2. Allen, J. F. 1984. Towards a general theory of action and time. Artificial Intelligence, 23(2):123-154.
3. Alonso, R. 2009. The value of time in unstructured data for IR. In CIDR.
4. th workshop on Computational learning theory, pp.144-152.
5. Chambers, N., S. Wang, and D. Jurafsky. 2007. Classifying temporal relations between events. In Proceedings of ACL-45, pp.173-176.
6. Chang, C. C. and C. J. Lin. 2001. Libsvm: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.
7. Chklovski, T. and P. Pantel. 2005. Global path-based refinement of noisy graphs applied to verb semantics. In Proceeding of Joint Conference on Natural Language Processing, pp.792-803.
8. Collins, M. and N. Duffy. 2001. Convolution kernels for natural language. In Advances in Neural Information Processing Systems 14, pp.625-632. MIT Press.
9. Cortes, C. and V. Vapnik. 1995. Support-vector networks. Machine Learning, pp.273-297.
10. Harris, Z. 1968. Mathematical structure of language. John Wiley Sons, New York.
11. Inui, T., K. Inui, and Y. Matsumoto. 2003. What kinds and amounts of causal knowledge can be acquired from text by using connective markers as clues? In Proceedings of 6th International Conference on Discovery Science, pp.180-193.
12. Khayyamian, M., S. A. Mirroshandel, and H. Abolhassani. 2009. Syntactic tree-based relationextraction using a generalization of Collins and Duffy convolution tree kernel. In Proceedings of Human Language Technologies, pp.66-71.
13. Lapata, M. and A. Lascarides. 2006. Learning sentence-internal temporal relations. Journal of Artificial Intelligence Research, 27:85-117.
14. th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp.323-328.
15. Mani, I., B. Wellner, M. Verhagen, and J. Pustejovsky. 2007. Three approaches to learning tlinks in timeml. Technical Report CS-07-268. Computer Science Department, Brandeis University, Waltham, USA.
16. Mani, I., V. Marc, B. Wellner, C. M. Lee, and J. Pustejovsky. 2006. Machine learning of temporal relations. In Proceedings of ACL-44, pp.753-760.
17. Mirroshandel, S. A., M. Khayyamian, and G. R. Ghassem-Sani. 2009. Event-Time Temporal Relation Classification Using Syntactic Tree Kernels. In Proceedings of the LTC'09, Poznan, Poland (To appear).
18. Pekar, V. 2006. Acquisition of verb entailment from text. In Proceedings of the Human Language Technology Conference of the NAACL, Main Conference, pp.49-56.
19. Pustejovsky, J., P. Hanks, R. Sauri, A. See, R. Gaizauskas, A. Setzer, D. Radev, B. Sundheim, D. Day, L. Ferro, and M. Lazo. 2003. The TIMEBANK corpus. In Proceedings of Corpus Linguistics 2003, pp.647-656.
20. Szpektor, I., H. Tanev, and I. Dagan. 2004. Scaling web-based acquisition of entailment relations. In Proceedings of EMNLP, pp.41-48.
21. Tatu, M. and M. Srikanth. 2008. Experiments with reasoning for temporal relations between events. In Proceedings of the 22nd International Conference on Computational Linguistics, pp.857-864.
22. Torisawa, K. 2006. Acquiring inference rules with temporal constraints by using Japanese coordinated sentences and noun-verb co-occurrences. In Proceedings of the Human Language Technology Conference of the NAACL, Main Conference, pp.57-64.
23. Zhang, M., J. Zhang, J. Su, and G. D. Zhou. 2006. A composite kernel to extract relations between entities with both flat and structured features. In Proceedings of the 21st International Conference on Computational Linguistics and ACL-44, pp.825-832.