Semantic role labeling for news tweets

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

Volumn 2, Issue , 2010, Pages 698-706

  Liu, Xiaohua ^a,b   Li, Kuan ^c   Han, Bo ^d   Zhou, Ming ^b   Jiang, Long ^b   Xiong, Zhongyang ^c   Huang, Changning ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

^c CHONGQING UNIVERSITY   (China)

^d DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT SIMILARITY; DOMAIN SPECIFIC; FINE GRAINED; INFORMATION EXTRACTION; LEARNING APPROACH; NEWS DOMAIN; REAL-TIME INFORMATION; SEMANTIC ROLE LABELING; STATE-OF-THE-ART PERFORMANCE; TEST SETS; TRAINING DATA;

COMPUTATIONAL LINGUISTICS; INFORMATION RETRIEVAL SYSTEMS;

SEMANTICS;

EID: 80053285905     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Bacchiani, Michiel and Brian Roark. 2003. Unsupervised language model adaptation. Proceedings of the 2003 International Conference on Acoustics, Speech and Signal Processing, volume 1, pages: 224-227.
2. Carreras, Xavier, Lluís Màrquez, and Grzegorz Chrupala. 2004. Hierarchical recognition of prepositional arguments with Perceptrons. Proceedings of the Eighth Conference on Computational Natural Language Learning, pages: 106-109.
3. Cohn, Trevor and Philip Blunsom. 2005. Semantic role labeling with tree conditional random fields. Proceedings of the Ninth Conference on Computational Natural Language Learning, pages: 169-172.
4. Daumé, Hal III and Daniel Marcu. 2006. Domain adaptation for statistical classifiers. Journal of Artificial Intelligence Research, 26(1), 101-126. (Pubitemid 44452208)
5. Fillmore, Charles J., Josef Ruppenhofer, Collin F. Baker. 2004. FrameNet and Representing the Link between Semantic and Syntactic Relations. Computational Linguistics and Beyond, Institute of Linguistics, Academia Sinica.
6. Kelly, Ryan, ed. 2009. Twitter Study Reveals Interesting Results About Usage. San Antonio, Texas: Pear Analytics.
7. Koomen, Peter, Vasin Punyakanok, Dan Roth, and Wen-tau Yih. 2005. Generalized inference with multiple semantic role labeling systems. Proceedings of the Ninth Conference on Computational Natural Language Learning, pages: 181-184.
8. Lafferty, John D., Andrew McCallum, Fernando C. N. Pereira. 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. Proceedings of the Eighteenth International Conference on Machine Learning, pages: 282-289.
9. Manning, Christopher D., Prabhakar Raghavan and Hinrich Schtze. 2008. Introduction to Information Retrieval. Cambridge University Press, Cambridge, UK.
10. Màrquez, Lluís, Jesus Gimènez Pere Comas and Neus Català. 2005. Semantic Role Labeling as Sequential Tagging. Proceedings of the Ninth Conference on Computational Natural Language Learning, pages: 193-196.
11. Màrquez, Lluís. 2009. Semantic Role Labeling Past, Present and Future, Tutorial of ACL-IJCNLP 2009.
12. Merlo, Paola and Gabriele Musillo. 2008. Semantic parsing for high-precision semantic role labelling. Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages: 1-8.
13. Meza-Ruiz, Ivan and Sebastian Riedel. 2009. Jointly Identifying Predicates, Arguments and Senses using Markov Logic. Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the ACL, pages: 155-163.
14. Musillo, Gabriele and Paola Merlo. 2006. Accurate Parsing of the proposition bank. Proceedings of the Human Language Technology Conference of the NAACL, pages: 101-104.
15. Och, Franz Josef, Hermann Ney. Improved Statistical Alignment Models. Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics, pages: 440-447.
16. Porter, Martin F. 1980. An algorithm for suffix stripping. Program, 14(3), 130-137.
17. Punyakanok, Vasin, Dan Roth and Wen-tau Yih. 2008. The importance of syntactic parsing and inference in semantic role labeling. Journal of Computational Linguistics, 34(2), 257-287.
18. Richardson, Matthew and Pedro Domingos. 2005. Markov logic networks. Technical Report, University of Washington, 2005.
19. Riedel, Sebastian and Ivan Meza-Ruiz. 2008. Collective semantic role labelling with Markov Logic. Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages: 193-197.
20. Roark, Brian and Michiel Bacchiani. 2003. Supervised and unsupervised PCFG adaptation to novel domains. Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, volume 1, pages: 126-133.
21. Surdeanu, Mihai, Sanda Harabagiu, JohnWilliams and Paul Aarseth. 2003. Using predicate-argument structures for information extraction. Proceedings of the 41st Annual Meeting on Association for Computational Linguistics, volume 1, pages: 8-15.
22. Surdeanu, Mihai, Lluís Màrquez, Xavier Carreras and Pere R. Comas. 2007. Combination strategies for semantic role labeling. Journal of Artificial Intelligence Research, 29(1), 105-151. (Pubitemid 47477591)