Learning event durations from event descriptions

COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Volumn 1, Issue , 2006, Pages 393-400

  Pan, Feng ^a   Mulkar, Rutu ^a   Hobbs, Jerry R ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

COARSE-GRAINED; DATA YIELDS; EVENT DESCRIPTION; HUMAN PERFORMANCE; MACHINE LEARNING TECHNIQUES; NEWS ARTICLES;

LEARNING SYSTEMS;

EID: 84860514089     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1220175.1220225     Document Type: Conference Paper

References (20)

1. B. Boguraev and R. K. Ando. 2005. TimeMLCompliant Text Analysis for Temporal Reasoning. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI).
2. E. Brill. 1992. A simple rule-based part of speech tagger. In Proceedings of the Third Conference on Applied Natural Language Processing.
3. J. Carletta. 1996. Assessing agreement on classification tasks: the kappa statistic. Computational Lingustics, 22(2):249-254.
4. R. O. Duda and P. E. Hart. 1973. Pattern Classification and Scene Analysis. Wiley, New York.
5. E. Filatova and E. Hovy. 2001. Assigning Time-Stamps to Event-Clauses. Proceedings of ACL Workshop on Temporal and Spatial Reasoning.
6. P. Fortemps. 1997. Jobshop Scheduling with Imprecise Durations: A Fuzzy Approach. IEEE Transactions on Fuzzy Systems Vol. 5 No. 4.
7. D. Gildea and D. Jurafsky. 2002. Automatic Labeling of Semantic Roles. Computational Linguistics, 28(3):245-288.
8. L. Godo and L. Vila. 1995. Possibilistic Temporal Reasoning based on Fuzzy Temporal Constraints. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI).
9. U. Hermjakob and R. J. Mooney. 1997. Learning Parse and Translation Decisions from Examples with Rich Context. In Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics (ACL).
10. J. Hitzeman, M. Moens, and C. Grover. 1995. Algorithms for Analyzing the Temporal Structure of Discourse. In Proceedings of EACL. Dublin, Ireland.
11. J. R. Hobbs and V. Kreinovich. 2001. Optimal Choice of Granularity in Commonsense Estimation: Why Half Orders of Magnitude, In Proceedings of Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vacouver, British Columbia.
12. K. Krippendorf. 1980. Content Analysis: An introduction to its methodology. Sage Publications.
13. I. Mani and G. Wilson. 2000. Robust Temporal Processing of News. In Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics (ACL).
14. G. A. Miller. 1990. WordNet: an On-line Lexical Database. International Journal of Lexicography 3(4).
15. F. Pan, R. Mulkar, and J. R. Hobbs. 2006. An Annotated Corpus of Typical Durations of Events. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC), Genoa, Italy.
16. J. Pustejovsky, P. Hanks, R. Saurí, A. See, R. Gaizauskas, A. Setzer, D. Radev, B. Sundheim, D. Day, L. Ferro and M. Lazo. 2003. The timebank corpus. In Corpus Linguistics, Lancaster, U.K.
17. J. R. Quinlan. 1993. C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco.
18. C. J. Rieger. 1974. Conceptual memory: A theory and computer program for processing and meaning content of natural language utterances. Stanford AIM-233.
19. V. Vapnik. 1995. The Nature of Statistical Learning Theory. Springer-Verlag, New York.
20. I. H. Witten and E. Frank. 2005. Data Mining: Practical machine learning tools and techniques, 2nd Edition, Morgan Kaufmann, San Francisco.