emnlp emnlp2012 emnlp2012-28 emnlp2012-28-reference knowledge-graph by maker-knowledge-mining
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Author: Yanyan Zhao ; Bing Qin ; Ting Liu
Abstract: This paper focuses on the task of collocation polarity disambiguation. The collocation refers to a binary tuple of a polarity word and a target (such as ⟨long, battery life⟩ or ⟨long, ast atratrguep⟩t) (, siunc whh aisch ⟨ ltohneg s,en btatitmeernyt l iofrei⟩en otrat ⟨iolonn gof, tshtaer polarity wwohirdch (“long”) changes along owniothf different targets (“battery life” or “startup”). To disambiguate a collocation’s polarity, previous work always turned to investigate the polarities of its surrounding contexts, and then assigned the majority polarity to the collocation. However, these contexts are limited, thus the resulting polarity is insufficient to be reliable. We therefore propose an unsupervised three-component framework to expand some pseudo contexts from web, to help disambiguate a collocation’s polarity.Without using any additional labeled data, experiments , show that our method is effective.
Kenneth Bloom, Navendu Garg, and Shlomo Argamon. 2007. Extracting appraisal expressions. In HLTNAACL 2007, pages 308–315. D. Bollegala, D. Weir, and J. Carroll. 2011. Using multiple sources to construct a sentiment sensitive thesaurus for cross-domain sentiment classification. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1, pages 132–141. Association for Computational Linguistics. Jacob Cohen. 1960. A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1):37 –46. Xiaowen Ding, Bing Liu, and Philip S. Yu. 2008. A holistic lexicon-based approach to opinion mining. In Proceedings ofthe Conference on Web Search and Web Data Mining (WSDM), pages 231–240. A. Esuli and F. Sebastiani. 2005. Determining the se- mantic orientation of terms through gloss analysis. In Proceedings of the ACM SIGIR Conference on Information and Knowledge Management (CIKM), pages 617–624. 169 A. Esuli. 2008. Automatic generation of lexical resources for opinion mining: models, algorithms and applications. In ACM SIGIR Forum, volume 42, pages 105–106. ACM. V. Hatzivassiloglou and K.R. McKeown. 1997. Predicting the semantic orientation of adjectives. In Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics, pages 174–181. Association for Computational Linguistics. Yulan He, Chenghua Lin, and Harith Alani. 2011. Automatically extracting polarity-bearing topics for crossdomain sentiment classification. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 123–13 1, Portland, Oregon, USA, June. Association for Computational Linguistics. M. Hu and B. Liu. 2004. Mining and summarizing customer reviews. In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 168–177. ACM. V. Jijkoun, M. De Rijke, and W. Weerkamp. 2010. Gen- erating focused topic-specific sentiment lexicons. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 585–594. Association for Computational Linguistics. N. Kaji and M. Kitsuregawa. 2007. Building lexicon for sentiment analysis from massive collection of html documents. In Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 1075–1083. Jaap Kamps, Maarten Marx, R. ort. Mokken, and Maarten de Rijke. 2004. Using wordnet to measure semantic orientation of adjectives. In Proceedings of LREC-2004, pages 1115–1 118. H. Kanayama and T. Nasukawa. 2006. Fully automatic lexicon expansion for domain-oriented sentiment analysis. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pages 355–363. Association for Computational Linguistics. Soo-Min Kim and Eduard Hovy. 2005. Automatic detection of opinion bearing words and sentences. In Proceedings of IJCNLP-2005, pages 61–66. S.-M. Kim and E. Hovy. 2006. Identifying and analyzing judgment opinions. In Proceedings of the Joint Human Language Technology/North American Chapter of the ACL Conference (HLT-NAACL), pages 200– 207. Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto, Kenji Tateishi, and Toshikazu Fukushima. 2004. Collecting evaluative expressions for opinion extraction. In Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP), pages 584–589. Binyang Li, Lanjun Zhou, Shi Feng, and Kam-Fai Wong. 2010. A unified graph model for sentence-based opinion retrieval. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, page 1367 –1375. Bing Liu, Minqing Hu, and Junsheng Cheng. 2005. Opinion observer: analyzing and comparing opinions on the web. In Proceedings of WWW-2005, pages 342–351. Y. Lu, M. Castellanos, U. Dayal, and C.X. Zhai. 2011. Automatic construction of a context-aware sentiment lexicon: an optimization approach. In Proceedings of the 20th international conference on World wide web, pages 347–356. ACM. S. Mohammad, C. Dunne, and B. Dorr. 2009. Generating high-coverage semantic orientation lexicons from overtly marked words and a thesaurus. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2-Volume 2, pages 599–608. Association for Computational Linguistics. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up? sentiment classification using ma- chine learning techniques. In Proceedings of EMNLP2002, pages 79–86. Ana-Maria Popescu and Oren Etzioni. 2005. Extracting product features and opinions from reviews. In hltemnlp2005, pages 339–346. Ellen Riloff and Janyce Wiebe. 2003. Learning extraction patterns for subjective expressions. In Proceedings of EMNLP-2003, pages 105–1 12. Ellen Riloff, Janyce Wiebe, and William Phillips. 2005. Exploiting subjectivity classification to improve information extraction. In Proceedings of AAAI-2005, pages 1106–1 111. Fangzhong Su and Katja Markert. 2009. Subjectivity recognition on word senses via semi-supervised mincuts. In Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the ACL, pages 1–9. Yasuhiro Suzuki, Hiroya Takamura, and Manabu Okumura. 2006. Application of semi-supervised learning to evaluative expression classification. In Computational Linguistics and Intelligent Text Processing, pages 502–513. P. Turney, M.L. Littman, et al. 2003. Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems (TOIS), 21(4):315–346. Leonid Velikovich, Sasha Blair-Goldensohn, Kerry Hannan, and Ryan McDonald. 2010. The viability ofweb- derived polarity lexicons. In The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 777–785. 170 Jan Wiebe and Rada Mihalcea. 2006. Word sense and subjectivity. In Proceedings of the Conference on Computational Linguistics / Association for Computational Linguistics (COLING/ACL), pages 1065–1072. Janyce Wiebe, Eric Breck, and Chris Buckley. 2003. Recognizing and Organizing Opinions Expressed in the World Press. In Papers from the AAAI Spring Symposium on New Directions in Question Answering, pages 24–26. Janyce Wiebe. 2000. Learning subjective adjectives from corpora. In Proceedings of AAAI, pages 735– 740. Theresa Wilson, Janyce Wiebe, and Paul Hoffmann. 2005. Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of HLT/EMNLP2005, pages 347–354. Theresa Wilson, Janyce Wiebe, and Paul Hoffmann. 2009. Recognizing contextual polarity: an exploration of features for phrase-level sentiment analysis. Computational Linguistics, 35(3). Hong Yu and Vasileios Hatzivassiloglou. 2003. Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentences. In Proceedings of EMNLP-2003, pages 129– 136. Min Zhang and Xingyao Ye. 2008. A generation model to unify topic relevance and lexicon-based sentiment for opinion retrieval. In Proceedings of the ACM Special Interest Group on Information Retrieval (SIGIR), pages 411–419. Wei Zhang, Clement Yu, and Weiyi Meng. 2007. Opinion retrieval from blogs. In In proceedings of CIKM, page 831 – 840. Jun Zhao, Hongbo Xu, Xuanjing Huang, Songbo Tan, Kang Liu, and Qi Zhang. 2008. Overview of chinese opinion analysis evaluation 2008.