Temporal information extraction

Proceedings of the National Conference on Artificial Intelligence

Volumn 3, Issue , 2010, Pages 1385-1390

  Ling, Xiao ^a   Weld, Daniel S ^a  

^a University of Washington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; INFORMATION RETRIEVAL;

BINARY RELATION; FLUENTS; INFORMATION EXTRACTION SYSTEMS; NATURAL LANGUAGE TEXT; TEMPORAL INFORMATION EXTRACTION; TEMPORAL RELATION;

INFORMATION RETRIEVAL SYSTEMS;

EID: 77958553808     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. Agichtein, E., and Gravano, L. 2000. Snowball: Extracting Relations from Large Plain-Text Collections. In Proceed ings of the 5th ACM International Conference on Digital Li braries, 85-94.
2. Allen, J. 1983. Maintaining knowledge about temporal in tervals. C. ACM 26(11):832-843.
3. Banko, M.; Cafarella, M.; Soderland, S.; Broadhead, M.; and Etzioni, O. 2007. Open information extraction from the Web. In Procs. of UCAI.
4. Barzilay, R.; Elhadad, N.; and McKeown, K. 2002. Infer ring strategies for sentence ordering in multidocument news summarization. JAIR 17:35-55.
5. Bramsen, P.; Deshpande, P.; Lee, Y.; and Barzilay, R. 2006. Inducing temporal graphs. In Procs. of EMNLP, 189-198.
6. Brin, S. 1998. Extracting Patterns and Relations from the World Wide Web. In WebDB Workshop at 6th International Conference on Extending Database Technology, EDBT'98, 172-183.
7. Chambers, N.; Wang, S.; and Jurafsky, D. 2007. Classifying temporal relations between events. In ACL, 173-176.
8. Craven, M.; DiPasquo, D.; Freitag, D.; McCallum, A.; Mitchell, T.; Nigam, K.; and Slattery, S. 2000. Learning to Construct Knowledge Bases from the World Wide Web. Artificial Intelligence 118(1-2) 69-113.
9. De Marneffe, M.; MacCartney, B.; and Manning, C. 2006. Generating typed dependency parses from phrase structure parses. In LREC 2006.
10. Etzioni, O.; Cafarella, M.; Downey, D.; Kok, S.; Popescu, A.; Shaked, T.; Soderland, S.; Weld, D.; and Yates, A. 2005. Unsupervised named-entity extraction from the Web: An experimental study. Artificial Intelligence 165(1):91-134.
11. Filatova, E., and Hovy, E. 2001. Assigning time-stamps to event-clauses. In Proceedings of ACL Workshop on Tempo ral and Spatial Reasoning, 88-95.
12. Kok, S.; Singla, P.; Richardson, M.; Domingos, P.; Sumner, M.; Poon, H.; and Lowd, D. 2005. The Alchemy system for statistical relational AI. Dept. of Computer Science and En gineering, University of Washington, Technical Report 2(6).
13. Koomen, P.; Punyakanok, V.; Roth, D.; and Yih, W. 2005. Generalized inference with multiple semantic role labeling systems (shared task paper). In Proc. of CoNLL.
14. Lapata, M., and Lascarides, A. 2004. Inferring sentence-internal temporal relations. In Procs. of HLT-NAACL.
15. Mani, I.; Schiffman, B.; and Zhang, J. 2003. Inferring tem poral ordering of events in news. In Procs. of HLT-NAACL.
16. Pasca, M. 2008. Answering Definition Questions via Temporally-Anchored Text Snippets. Proc. of IJCNLP 2008.
17. Poon, H., and Domingos, P. 2006. Sound and efficient infer ence with probabilistic and deterministic dependencies. In Proceedings of AAAI.
18. Pustejovsky, J.; Castano, J.; Ingria, R.; Sauri, R.; Gaizauskas, R.; Setzer, A.; Katz, G.; and Radev, D. 2003a. TimeML: Robust specification of event and temporal expres sions in text. In IWCS-5 Fifth Intl. Workshop on Computa tional Semantics.
19. Pustejovsky, J.; Hanks, P.; Sauri, R.; See, A.; Gaizauskas, R.; Setzer, A.; Radev, D.; Sundheim, B.; Day, D.; Ferro, L.; et al. 2003b. The timebank corpus. In Corpus Linguistics.
20. Richardson, M., and Domingos, P. 2006. Markov logic networks. Machine Learning 62(1): 107-136.
21. Riloff, E., and Jones, R. 1999. Learning Dictionaries for In formation Extraction by Multi-level Bootstrapping. In Pro ceedings of the Sixteenth National Conference on Artificial Intelligence, 474-479.
22. Russell, S., and Norvig, P. 2003. Artificial Intelligence: A Modern Approach, 2nd ed. Prentice Hall.
23. Schilder, F., and Habel, C. 2001. From temporal expres sions to temporal information: Semantic tagging of news messages. In Proceedings of the ACL-2001 Workshop on Temporal and Spatial Information Processing, 65-72.
24. Schockaert, S.; De Cock, M.; and Kerre, E. 2010. Reasoning about fuzzy temporal information from the web: towards retrieval of historical events. Soft Computing: A Fusion of Foundations, Methodologies and Applications 14(8).
25. Suchanek, F. M.; Kasneci, G.; and Weikum, G. 2007. Yago: A core of semantic knowledge - unifying WordNet and Wikipedia. In Proceedings of WWW07.
26. Tatu, M., and Srikanth, M. 2008. Experiments with rea soning for temporal relations between events. In Proceed ings of the 22nd International Conference on Computational Linguistics-Volume I.
27. Verhagen, M.; Mani, I.; Sauri, R.; Knippen, R.; Littman, J.; and Pustejovsky, J. 2005. Automating Temporal Annotation with TARSQI. In Demo Session. Proceedings of ACL.
28. Verhagen, M.; Gaizauskas, R.; Schilder, E; Hepple, M.; Katz, G.; and Pustejovsky, J. 2007. Semeval-2007 task 15: Tempeval temporal relation identification. In SemEval-2007: 4th International Workshop on Semantic Evaluations.
29. Vilain, M., and Kautz, H. 1986. Constraint propagation algorithms for temporal reasoning. In Proceedings of the Fifth National Conference on Artificial Intelligence.
30. Wu, F., and Weld, D. 2007. Autonomously semantifying Wikipedia. In Proceedings of the ACM Sixteenth Conference on Information and Knowledge Management (CIKM-07).
31. Yoshikawa, K.; NAIST, J.; Riedel, S.; Asahara, M.; and Matsumoto, Y. 2009. Jointly Identifying Temporal Rela tions with Markov Logic. In Proceedings of the 2009 ACL.