Coupled Temporal Scoping of relational facts

WSDM 2012 - Proceedings of the 5th ACM International Conference on Web Search and Data Mining

Volumn , Issue , 2012, Pages 73-82

  Talukdar, Partha Pratim ^a   Wijaya, Derry ^a   Mitchell, Tom ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Joint inference; Knowledge base; Temporal Scoping

Indexed keywords

CHANGE DETECTION; DATA SETS; KNOWLEDGE BASE; KNOWLEDGE BASIS; MUTUAL EXCLUSIONS; N-GRAMS; SCOPING; TEMPORAL CONSTRAINTS; TEXT CORPORA;

DATA MINING; INFORMATION RETRIEVAL; KNOWLEDGE BASED SYSTEMS; SOFTWARE AGENTS;

WEBSITES;

EID: 84858019588     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2124295.2124307     Document Type: Conference Paper

References (29)

1. J.F. Allen. Maintaining knowledge about temporal intervals. Communications of the ACM, 26(11), 1983.
2. O. Alonso, M. Gertz, and R. Baeza-Yates. On the value of temporal information in information retrieval. In ACM SIGIR Forum, volume 41. ACM, 2007.
3. A. Bakalov, A. Fuxman, P.P. Talukdar, and S. Chakrabarti. Scad: Collective discovery of attribute values. In Proceedings of WWW, 2011.
4. M. Banko, M.J. Cafarella, S. Soderland, M. Broadhead, and O. Etzioni. Open information extraction from the web. Proceedings of IJCAI, 2007.
5. S. Bethard and J.H. Martin. Cu-tmp: Temporal relation classification using syntactic and semantic features. In In SemEval-2007, 2007.
6. B. Boguraev and R.K. Ando. Timeml-compliant text analysis for temporal reasoning. In Proceedings of IJCAI, 2005.
7. A. Carlson, J. Betteridge, B. Kisiel, B. Settles, E.R. Hruschka Jr, and T.M. Mitchell. Toward an architecture for never-ending language learning. In Proceedings of AAAI, 2010.
8. N. Chambers and D. Jurafsky. Jointly combining implicit constraints improves temporal ordering. In Proceedings of EMNLP, 2008.
9. M.W. Chang, L. Ratinov, N. Rizzolo, and D. Roth. Learning and inference with constraints. In Proceedings of the 23rd National Conference on Artificial intelligence, 2008.
10. O. Etzioni, M. Cafarella, D. Downey, S. Kok, A.M. Popescu, T. Shaked, S. Soderland, D.S. Weld, and A. Yates. Web-scale information extraction in knowitall:(preliminary results). In Proceedings of WWW, 2004.
11. O. Gospodnetic, E. Hatcher, et al. Lucene in action. Manning, 2005.
12. D. Graff, J. Kong, K. Chen, and K. Maeda. English gigaword. Linguistic Data Consortium, Philadelphia, 2003.
13. X. Ling and D.S. Weld. Temporal information extraction. In Proceedings of AAAI, 2010.
14. I. Mani, M. Verhagen, B. Wellner, C.M. Lee, and J. Pustejovsky. Machine learning of temporal relations. In Proceedings of the ACL, 2006.
15. J.B. Michel, Y.K. Shen, A.P. Aiden, A. Veres, M.K. Gray, J.P. Pickett, D. Hoiberg, D. Clancy, P. Norvig, J. Orwant, et al. Quantitative analysis of culture using millions of digitized books. Science, 331(6014), 2011.
16. G. Puscasu. Wvali: Temporal relation identification by syntactico-semantic analysis. In Proceedings of the 4th International Workshop on SemEval, 2007.
17. J. Pustejovsky, J. Castano, R. Ingria, R. Saurí, R. Gaizauskas, A. Setzer, G. Katz, and D. Radev. Timeml: Robust specification of event and temporal expressions in text. In Fifth International Workshop on Computational Semantics, 2003.
18. J. Pustejovsky, P. Hanks, R. Sauri, A. See, R. Gaizauskas, A. Setzer, D. Radev, B. Sundheim, D. Day, L. Ferro, et al. The timebank corpus. In Corpus Linguistics, 2003.
19. M. Richardson and P. Domingos. Markov logic networks. Machine Learning, 62(1), 2006.
20. D. Roth and W. Yih. A linear programming formulation for global inference in natural language tasks.
21. F.M. Suchanek, G. Kasneci, and G. Weikum. Yago: a core of semantic knowledge. In Proceedings of WWW, 2007.
22. P. Talukdar and K. Crammer. New regularized algorithms for transductive learning. In Proceedings of ECML, 2009.
23. M. Verhagen, R. Gaizauskas, F. Schilder, M. Hepple, G. Katz, and J. Pustejovsky. Semeval-2007 task 15: Tempeval temporal relation identification. In Proceedings of the 4th International Workshop on Semantic Evaluations, 2007.
24. M. Verhagen, I. Mani, R. Sauri, R. Knippen, S.B. Jang, J. Littman, A. Rumshisky, J. Phillips, and J. Pustejovsky. Automating temporal annotation with tarsqi. In Proceedings of the ACL Session on Interactive poster and demonstration sessions, 2005.
25. Y. Wang, M. Yahya, and M. Theobald. Time-aware reasoning in uncertain knowledge bases. In MUD Workshop, 2010.
26. Y. Wang, B. Yang, L. Qu, M. Spaniol, and G. Weikum. Harvesting facts from textual web sources by constrained label propagation. In Proceedings of CIKM, 2011.
27. Y. Wang, M. Zhu, L. Qu, M. Spaniol, and G. Weikum. Timely yago: harvesting, querying, and visualizing temporal knowledge from wikipedia. In Proceedings of the 13th International Conference on Extending Database Technology, 2010.
28. G. Weikum, S. Bedathur, and R. Schenkel. Temporal knowledge for timely intelligence. Enabling Real-Time Business Intelligence, 2011.
29. K. Yoshikawa, S. Riedel, M. Asahara, and Y. Matsumoto. Jointly identifying temporal relations with markov logic. In Proceedings of ACL, 2009.