Passage retrieval for incorporating global evidence in sequence labeling

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2011, Pages 355-364

  Dalton, Jeffrey ^a   Allan, James ^a   Smith, David A ^a  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

information extraction; named entity recognition; passage retrieval; pseudo relevance feedback

Indexed keywords

AGGREGATION MODEL; INFORMATION EXTRACTION; LINGUISTIC ANALYSIS; NAMED ENTITY RECOGNITION; NER SYSTEM; NONLOCAL; PART OF SPEECH TAGGING; PASSAGE RETRIEVAL; PSEUDO RELEVANCE FEEDBACK; QUERY CONTEXT; SEQUENCE LABELING; STATISTICAL DEPENDENCE; TAGGING MODELS;

CHARACTER RECOGNITION; CLASSIFICATION (OF INFORMATION); EXPANSION; FEEDBACK; KNOWLEDGE MANAGEMENT; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH RECOGNITION;

INFORMATION RETRIEVAL;

EID: 83055187695     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2063576.2063633     Document Type: Conference Paper

References (23)

1. M. Bendersky, W. B. Croft, and D. A. Smith. Structural annotation of search queries using pseudo-relevance feedback. In Proceedings of the 19th ACM international conference on Information and knowledge management, CIKM '10, pages 1537-1540, New York, NY, USA, 2010. ACM.
2. P. F. Brown, P. V. deSouza, R. L. Mercer, V. J. D. Pietra, and J. C. Lai. Class-based n-gram models of natural language. Comput. Linguist., 18:467-479, December 1992.
3. C. Buckley. Automatic query expansion using smart : Trec 3. In In Proceedings of The third Text REtrieval Conference (TREC-3, pages 69-80.
4. R. Bunescu and R. J. Mooney. Collective information extraction with relational markov networks. In Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, ACL '04, Stroudsburg, PA, USA, 2004. Association for Computational Linguistics.
5. H. L. Chieu and H. T. Ng. Named entity recognition: a maximum entropy approach using global information. In COLING, pages 1-7, 2002.
6. F. Diaz and D. Metzler. Improving the estimation of relevance models using large external corpora. In Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '06, pages 154-161, New York, NY, USA, 2006. ACM.
7. J. R. Finkel, T. Grenager, and C. Manning. Incorporating non-local information into information extraction systems by gibbs sampling. In ACL, pages 363-370, 2005.
8. F. Huang and A. Yates. Distributional representations for handling sparsity in supervised sequence-labeling. In ACL-IJCNLP, pages 495-503, 2009.
9. N. A. Jaleel, J. Allan, W. B. Croft, F. Diaz, L. Larkey, X. Li, M. Smucker, and C. Wade. Umass at trec 2004: Novelty and hard. 2005. Proc. TREC 2004, http://trec.nist.gov/.
10. V. Krishnan and C. D. Manning. An effective two-stage model for exploiting non-local dependencies in named entity recognition. In ACL, pages 1121-1128, 2006.
11. J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML, pages 282-289, 2001.
12. V. Lavrenko and W. B. Croft. Relevance-based language models. In Proceedings of the ACM SIGIR 01 conference, pages 120-127, 2001.
13. D. D. Lewis, Y. Yang, T. G. Rose, and F. Li. Rcv1: A new benchmark collection for text categorization research. J. Mach. Learn. Res., 5:361-397, December 2004.
14. X. Liu, S. Zhang, F.Wei, and M. Zhou. Recognizing named entities in tweets. In ACL, 2011.
15. D. Metzler and W. B. Croft. A markov random field model for term dependencies. In Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '05, pages 472-479, New York, NY, USA, 2005. ACM.
16. A. Mikheev. A knowledge-free method for capitalized word disambiguation. In ACL, pages 159-166, 1999.
17. D. Nadeau and S. Sekine. A survey of named entity recognition and classification. Lingvisticæ Investigationes, 30(1):3-26, 2007.
18. D. Pinto, A. McCallum, X. Wei, and W. B. Croft. Table extraction using conditional random fields. In Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, SIGIR '03, pages 235-242, New York, NY, USA, 2003. ACM.
19. L. Ratinov and D. Roth. Design challenges and misconceptions in named entity recognition. In CoNLL, pages 147-155, 2009.
20. C. Sutton and A. McCallum. Collective segmentation and labeling of distant entities in information extraction. In ICML Workshop on Statistical Relational Learning and its Connections to Other Fields, 2004.
21. C. Sutton, M. Sindelar, and A. McCallum. Reducing weight undertraining in structured discriminative learning. In HLT-NAACL, pages 89-95, 2006.
22. J. Turian, L. Ratinov, and Y. Bengio. Word representations: a simple and general method for semi-supervised learning. In ACL, pages 384-394, 2010.
23. M. Vilain, J. Huggins, and B. Wellner. A simple feature-copying approach for long-distance dependencies. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning, CoNLL '09, pages 192-200, Stroudsburg, PA, USA, 2009. Association for Computational Linguistics.