Kernel-based reranking for named-entity extraction

Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference

Volumn 2, Issue , 2010, Pages 901-909

  Nguyen, Truc Vien T ^a   Moschitti, Alessandro ^a   Riccardi, Giuseppe ^a  

^a UNIVERSITY OF TRENTO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL RANDOM FIELD; DATA SETS; ENTITY EXTRACTIONS; F-MEASURE; MODEL DEPENDENCIES; N-BEST HYPOTHESIS; POLYNOMIAL KERNELS; RE-RANKING;

COMPUTATIONAL LINGUISTICS;

DATA MINING;

EID: 79959227538     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. Basili, Roberto, Marco Cammisa, and Alessandro Moschitti. 2005. Effective use of WordNet semantics via kernel-based learning. In CoNLL.
2. Bloehdorn, Stephan and Alessandro Moschitti. 2007a. Combined syntactic and semantic kernels for text classification. In ECIR.
3. Bloehdorn, Stephan and Alessandro Moschitti. 2007b. Structure and semantics for expressive text kernels. In CIKM.
4. Bunescu, Razvan C. and Raymond J. Mooney. 2005a. A shortest path dependency kernel for relation extraction. In EMNLP.
5. Carreras, Xavier, Lluís Màrques, and Llus Padró. 2002. Named entity extraction using Adaboost. In CoNLL.
6. Chieu, Hai Leong and Hwee Tou Ng. 2002. Named entity recognition: A maximum entropy approach using global information. In COLING.
7. Chieu, Hai Leong and Hwee Tou Ng. 2003. Named entity recognition with a maximum entropy approach. In CoNLL.
8. Chinchor, Nancy and Patricia Robinson. 1998. Muc-7 named entity task definition. In the MUC.
9. Collins, Michael and Nigel Duffy. 2001. Convolution kernels for natural language. In NIPS.
10. Collins, Michael and Terry Koo. 2000. Discriminative reranking for natural language parsing. In ICML.
11. Collins, Michael. 2002a. New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron. In ACL.
12. Collins, Michael. 2002b. Ranking algorithms for named-entity extraction boosting and the voted perceptron. In ACL.
13. Dinarelli, Marco, Alessandro Moschitti, and Giuseppe Riccardi. 2009. Re-ranking models based on small training data for spoken language understanding. In EMNLP.
14. Florian, Radu, Abe Ittycheriah, Hongyan Jing, and Tong Zhang. 2003. Named entity recognition through classifier combination. In CoNLL.
15. Huang, Liang. 2008. Forest reranking: Discriminative parsing with non-local features. In ACL-HLT.
16. Lafferty, John, Andrew McCallum, and Fernando Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML.
17. Lodhi, Huma, Craig Saunders, John Shawe Taylor, Nello Cristianini, and Chris Watkins. 2002. Text classification using string kernels. Journal of Machine Learning Research, pages 419-444. (Pubitemid 135712568)
18. Magnini, Bernardo, Emmanuele Pianta, Christian Girardi, Matteo Negri, Lorenza Romano, Manuela Speranza, Valentina Bartalesi Lenzi, and Rachele Sprugnoli. 2006. I-CAB: the italian content annotation bank. In LREC.
19. Moschitti, Alessandro. 2004. A study on convolution kernels for shallow semantic parsing. In ACL.
20. Moschitti, Alessandro. 2006. Efficient convolution kernels for dependency and constituent syntactic trees. In ICML.
21. Moschitti, Alessandro. 2008. Kernel methods, syntax and semantics for relational text categorization. In CIKM.
22. Nguyen, Truc-Vien T., Alessandro Moschitti, and Giuseppe Riccardi. 2009. Convolution kernels on constituent, dependency and sequential structures for relation extraction. In EMNLP.
23. Ratinov, Lev and Dan Roth. Design challenges and misconceptions in named entity recognition. In CoNLL.
24. Rifkin, Ryan Michael and Tomaso Poggio. 2002. Everything old is new again: a fresh look at historical approaches in machine learning. PhD thesis, MIT.
25. Sang, Erik F. Tjong Kim and Fien De Meulder. 2003. Introduction to the conll-2003 shared task: Language-independent named entity recognition. In CoNLL.
26. Schölkopf, Bernhard and Alexander J. Smola. 2001. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge, MA, USA.
27. Shen, Libin, Anoop Sarkar, and Franz Josef Och. 2004. Discriminative reranking for machine translation. In HLT-NAACL, Boston, Massachusetts, USA.
28. Surdeanu, Mihai, Sanda Harabagiu, John Williams, and Paul Aarseth. 2003. Using predicate-argument structures for information extraction. In ACL.
29. Vapnik, Vladimir N. 1998. Statistical Learning Theory. John Wiley and Sons, New York.
30. Vishwanathan, S.V.N. and Alexander J. Smola. 2002. Fast kernels on strings and trees. In NIPS.
31. Zanoli, Roberto, Emanuele Pianta, and Claudio Giuliano. 2009. Named entity recognition through redundancy driven classifiers. In EVALITA.