acl acl2013 acl2013-207 acl2013-207-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Bishan Yang ; Claire Cardie
Abstract: This paper addresses the task of finegrained opinion extraction the identification of opinion-related entities: the opinion expressions, the opinion holders, and the targets of the opinions, and the relations between opinion expressions and their targets and holders. Most existing approaches tackle the extraction of opinion entities and opinion relations in a pipelined manner, where the interdependencies among different extraction stages are not captured. We propose a joint inference model that leverages knowledge from predictors that optimize subtasks – of opinion extraction, and seeks a globally optimal solution. Experimental results demonstrate that our joint inference approach significantly outperforms traditional pipeline methods and baselines that tackle subtasks in isolation for the problem of opinion extraction.
E. Breck, Y. Choi, and C. Cardie. 2007. Identifying expressions of opinion in context. In Proceedings of the 20th international joint conference on Artifical intelligence, pages 2683–2688. Morgan Kaufmann Publishers Inc. Yejin Choi, Claire Cardie, Ellen Riloff, and Siddharth Patwardhan. 2005. Identifying sources of opinions with conditional random fields and extraction patterns. In Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, pages 355–362. Association for Computational Linguistics. Y. Choi, E. Breck, and C. Cardie. 2006. Joint extraction of entities and relations for opinion recognition. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pages 431–439. Association for Computational Linguistics. D. Das, A.F.T. Martins, and N.A. Smith. 2012. An exact dual decomposition algorithm for shallow semantic parsing with constraints. Proceedings of* SEM.[ii, 10, 50]. Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, XiangRui Wang, and Chih-Jen Lin. 2008. Liblinear: A library for large linear classification. The Journal of Machine Learning Research, 9: 1871–1874. M. Hu and B. Liu. 2004. Mining opinion features in customer reviews. In Proceedings of the National Conference on Artificial Intelligence, pages 755–760. Menlo Park, CA; Cambridge, MA; London; AAAI Press; MIT Press; 1999. Richard Johansson and Alessandro Moschitti. 2010a. Reranking models in fine-grained opinion analysis. In Proceedings of the 23rd International Conference on Computational Linguistics, pages 519–527. Association for Computational Linguistics. Richard Johansson and Alessandro Moschitti. 2010b. Syntactic and semantic structure for opinion expression detection. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pages 67–76. Association for Computational Linguistics. Richard Johansson and Alessandro Moschitti. 2012. Relational features in fine-grained opinion analysis. Soo-Min Kim and Eduard Hovy. 2006. Extracting opinions, opinion holders, and topics expressed in online news media text. In Proceedings of the Workshop on Sentiment and Subjectivity in Text, pages 1– 8. Association for Computational Linguistics. N. Kobayashi, K. Inui, and Y. Matsumoto. 2007. Extracting aspect-evaluation and aspect-of relations in opinion mining. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural 1648 Language Learning (EMNLP-CoNLL), pages 1065– 1074. John Lafferty, Andrew McCallum, and Fernando CN Pereira. 2001 . Conditional random fields: Probabilistic models for segmenting and labeling sequence data. K. Liu, L. Xu, and J. Zhao. 2012. Opinion target extraction using word-based translation model. In Proceedings of the conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. Bing Liu. 2012. Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies, 5(1): 1–167. Bo Pang and Lillian Lee. 2008. Opinion mining and sentiment analysis. Now Pub. V. Punyakanok, D. Roth, and W. Yih. 2008. The im- portance of syntactic parsing and inference in semantic role labeling. Computational Linguistics, 34(2):257–287. Guang Qiu, Bing Liu, Jiajun Bu, and Chun Chen. 2009. Expanding domain sentiment lexicon through double propagation. In Proceedings of the 21st international jont conference on Artifical intelligence, pages 1199–1204. Morgan Kaufmann Publishers Inc. G. Qiu, B. Liu, J. Bu, and C. Chen. 2011. Opinion word expansion and target extraction through double propagation. Computational linguistics, 37(1):9– 27. R. Quirk, S. Greenbaum, G. Leech, J. Svartvik, and D. Crystal. 1985. A comprehensive grammar of the English language, volume 397. Cambridge Univ Press. D. Roth and W. Yih. 2004. A linear programming formulation for global inference in natural language tasks. Defense Technical Information Center. J. Ruppenhofer, S. Somasundaran, and J. Wiebe. 2008. Finding the sources and targets of subjective expressions. In Proceedings of LREC. Vivek Srikumar and Dan Roth. 2011. A joint model for extended semantic role labeling. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 129–139. Association for Computational Linguistics. V. Stoyanov and C. Cardie. for fine-grained opinion of the 22nd International tional Linguistics-Volume ciation for Computational 2008. Topic identification analysis. In Proceedings Conference on Computa1, pages 817–824. AssoLinguistics. J. Wiebe, T. Wilson, and C. Cardie. 2005. Annotating expressions of opinions and emotions in language. Language Resources and Evaluation, 39(2): 165– 210. Theresa Wilson, Janyce Wiebe, and Paul Hoffmann. 2009. Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis. Computational linguistics, 35(3):399–433. Theresa Wilson. 2008. Fine-Grained Subjectivity Analysis. Ph.D. thesis, Ph. D. thesis, University of Pittsburgh. Intelligent Systems Program. Y. Wu, Q. Zhang, X. Huang, and L. Wu. 2009. Phrase dependency parsing for opinion mining. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3-Volume 3, pages 1533–1541 . Association for Computational Linguistics. B. Yang and C. Cardie. 2012. Extracting opinion expressions with semi-markov conditional random fields. In Proceedings of the conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. Lei Zhang, Bing Liu, Suk Hwan Lim, and Eamonn O’Brien-Strain. 2010. Extracting and ranking product features in opinion documents. In Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pages 1462–1470. Association for Computational Linguistics. 1649