Supporting factual statements with evidence from the web

ACM International Conference Proceeding Series

Volumn , Issue , 2012, Pages 1153-1162

  Leong, Chee Wee ^a   Cucerzan, Silviu ^b  

^a Center for Advanced Research and Technology   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

fact verification; semantic term extraction; supporting evidence; web references; web search; wikipedia

Indexed keywords

SUPPORTING EVIDENCE; TERM EXTRACTION; WEB REFERENCES; WEB SEARCHES; WIKIPEDIA;

AGGREGATES; INFORMATION RETRIEVAL; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; QUERY PROCESSING; SEMANTICS; WEBSITES;

SEMANTIC WEB;

EID: 84871033407     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2396761.2398415     Document Type: Conference Paper

References (26)

1. M. Bendersky and B. Croft. Discovering key concepts in verbose queries. In Proc. of SIGIR, pages 491-498, 2008.
2. M. Bendersky and B. Croft. Analysis of long queries in a large scale search log. In Proc. of WSCD, pages 8-14, 2009.
3. D. Blei and J. Lafferty. A correlated topic model of science. Annals of Applied Statistics, 1(1):17-35, 2007.
4. E. Brill, J. Lin, M. Banko, S. Dumais, and A. Ng. Data-intensive question answering. In Proc. of TREC, pages 393-400, 2001.
5. S. Brin and L. Page. The anatomy of a large-scale hypertextual Web search engine. Computer Networks, 30(1-7):107-117, 1998.
6. C. Burges. From RankNet to LambdaRank to LambdaMART: An overview. Technical Report, MSR-TR-2010-82, 2010.
7. A. Csomai and R. Mihalcea. Linguistically motivated features for enhanced back-of-the-book indexing. In Proc. of ACL, 2008.
8. S. Cucerzan. TAC entity linking by performing full-document entity extraction and disambiguation. In Proc. of TAC, 2011.
9. I. Dagan, O. Glickman, and B. Magnini. The PASCAL recognising textual entailment challenge. In Proc. PASCAL Workshop, 2005.
10. O. Etzioni, M. Cafarella, D. Downey, S. Kok, A. M. Popescu, T. Shaked, S. S. abd D. Weld, and A. Yates. Web-scale information extraction in KnowItAll. In Proc. of WWW, pages 100-110, 2004.
11. Z. Gyöngyi, H. Garcia-Molina, and J. Pedersen. Combating web spam with TrustRank. In Proc. of VLDB, pages 576-587, 2004.
12. J. Huang and E. Efthimiadis. Analyzing and evaluating query reformulation strategies in web search logs. In Proc. of CIKM, pages 77-86, 2009.
13. R. Jones, B. Rey, O. Madani, and W. Greiner. Generating query substitutions. In Proc. of WWW, pages 387-396, 2006.
14. M. Kouleykov and B. Magnini. Tree edit distance for textual entailment. In Proc. of RANLP, 2005.
15. Z. Kozareva and A. Montoyo. MLEnt: The machine learning entailment system of the University of Alicante. In Proc. of PASCAL RTE Workshop, 2006.
16. G. Kumaran and J. Allan. A case for shorter queries, and helping user create them. In Proc. of HLT, pages 220-227, 2006.
17. G. Kumaran and J. Allan. Effective and efficient user interaction for long queries. In Proc. of SIGIR, pages 11-18, 2008.
18. G. Kumaran and V. R. Carvalho. Reducing long queries using query quality predictors. In Proc. of SIGIR, pages 564-571, 2009.
19. T. Landauer and S. Dumais. A solution to Plato's problem: The latent semantic analysis theory of acquisition. Psychological Review, 104(2):211-240, 1997.
20. D. D. Lewis, Y. Yang, T. Rose, and F. Li. RCV1: A new benchmark collection for text categorization research. Journal of Machine Learning Research, 5:361-397, 2004.
21. W. Li and A. McCallum. Pachinko allocation: DAG-structured mixture models of topic correlations. In Proc. of ICML, 2006.
22. R. Mihalcea and C. Leong. Towards communicating simple sentences using pictorial representations. Machine Translation, 22(3):153-173, 2009.
23. T. Pedersen, S. Patwardhan, and J. Michelizzi. Wordnet::Similarity - measuring the relatedness of concepts. In Proc. of AAAI, 2004.
24. R. Snow, B. O'Connor, D. Jurafsky, and A. Ng. Cheap and fast - is it good? Evaluating non-expert annotations. In Proc. of EMNLP, 2008.
25. M. Tatu and D. Moldovan. COGEX at RTE 3. In Proc. of PASCAL RTE Workshop, 2007.
26. X. Xue, S. Huston, and B. Croft. Improving verbose queries using subset distribution. In Proc. of CIKM, pages 1509-1068, 2010.