Inferring sentence-internal temporal relations

HLT-NAACL 2004 - Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference

Volumn , Issue , 2004, Pages 153-160

  Lapata, Mirella ^a   Lascarides, Alex ^b  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BEST MODEL; DATA INTENSIVE; GOLD STANDARDS; HUMAN SUBJECTS; MANUAL CODING; PERFORMANCE; PROBABILISTIC MODELS; SIMPLE++; TEMPORAL RELATION;

EID: 85037137896     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Asher, Nicholas and Alex Lascarides. 2003. Logics of Conversation. Cambridge University Press.
2. Barzilay, Regina. 2003. Information Fusion for Multi-Document Summarization: Praphrasing and Generation. Ph.D. thesis, Columbia University.
3. Charniak, Eugene. 2000. A maximum-entropy-inspired parser. In Proceedings of the 1st Conference of the North American Chapter of the Association for Computational Linguistics. Seattle, WA, pages 132–139.
4. Dietterich, T. G. 1997. Machine learning research: Four current directions. AI Magazine 18(4):97–136.
5. Dorr, Bonnie and Terry Gaasterland. 1995. Selecting tense aspect and connecting words in language generation. In Proceedings of 14th International Joint Conference on Artificial Intelligence. Montréal, Canada, pages 1299–1307.
6. Fellbaum, Christiane, editor. 1998. WordNet: An Electronic Database. MIT Press, Cambridge, MA.
7. Ferro, Lisa, Inderjeet Mani, Beth Sundheim, and George Wilson. 2000. Tides temporal annotation guidelines. Technical report, The MITRE Corporation.
8. Johnson, W. E. 1932. Probability: The deductive and inductive problems. Mind 49:409–423.
9. Kamp, Hans and Uwe Reyle. 1993. From Discourse to Logic: Introduction to Modeltheoretic Semantics of Natural Language, Formal Logic and Discourse Representation Theory. Kluwer, Dordrecht.
10. Katz, Graham and Fabrizio Arosio. 2001. The annotation of temporal information in natural language sentences. In Proceedings of ACL Workshop on Temporal and Spatial Information Processing. Toulouse, France, pages 104–111.
11. Lapata, Maria and Chris Brew. 1999. Using subcategorization to resolve verb class ambiguity. In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora. College Park, MD, pages 266–274.
12. Levin, Beth. 1993. English Verb Classes and Alternations: A Preliminary Investigation. University of Chicago Press, Chicago.
13. Mani, Inderjeet, Barry Schiffman, and Jianping Zhang. 2003. Inferring temporal ordering of events in news. In Proceedings of the 1st Human Language Technology Conference and Annual Meeting of the North American Chapter of the Association for Computational Linguistics. Edmonton, Canada.
14. Marcu, Daniel and Abdessamad Echihabi. 2002. An unsupervised approach to recognizing discourse relations. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics. Philadelphia, PA, pages 368–375.
15. Quinlan, Ross J. 1993. C4.5: Programs for Machine Learning. Series in Machine Learning. Morgan Kaufman, San Mateo, CA.
16. Quirk, Randolph, Sidney Greenbaum, Geoffrey Leech, and Jan Svartvik. 1985. A Comprehensive Grammar of the English Language. Longman, London.
17. Schilder, Frank and Christopher Habel. 2001. From temporal expressions to temporal information: Semantic tagging of news messages. In Proceedings of ACL Workshop on Temporal and Spatial Information Processing. Toulouse, pages 65–72.
18. Setzer, Andrea and Robert Gaizauskas. 2001. A pilot study on annotating temporal relations in text. In Proceedings of ACL Workshop on Temporal and Spatial Information Processing. Toulouse, France, pages 73–80.
19. Siegel, Sidney and N. John Castellan. 1988. Non Parametric Statistics for the Behavioral Sciences. McGraw-Hill, New York.
20. Soricut, Radu and Daniel Marcu. 2003. Sentence level discourse parsing using syntactic and lexical information. In Proceedings of the 1st Human Language Technology Conference and Annual Meeting of the North American Chapter of the Association for Computational Linguistics. Edmonton, Canada, pages 228–235.
21. Webber, Bonnie Lynn. 1991. Structure and ostension in the interpretation of discourse deixis. Language and Cognitive Processes 6(2):107–135. ¨
22. Wiebe, Janyce M., Thomas P. O’Hara, Thorsten Öhrström Sandgren, and Kenneth J. McKeever. 1998. An empirical approach to temporal reference resolution. Journal of Artifical Intelligence Research 9:247–293.
23. Wilson, George, Interjeet Mani, Beth Sundheim, and Lisa Ferro. 2001. A multilingual approach to annotating and extracting temporal information. In Proceedings of ACL Workshop on Temporal and Spatial Information Processing. Toulouse, France, pages 81–87.