emnlp emnlp2011 emnlp2011-126 emnlp2011-126-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Yuanbin Wu ; Qi Zhang ; Xuanjing Huang ; Lide Wu
Abstract: Based on analysis of on-line review corpus we observe that most sentences have complicated opinion structures and they cannot be well represented by existing methods, such as frame-based and feature-based ones. In this work, we propose a novel graph-based representation for sentence level sentiment. An integer linear programming-based structural learning method is then introduced to produce the graph representations of input sentences. Experimental evaluations on a manually labeled Chinese corpus demonstrate the effectiveness of the proposed approach.
Koby Crammer, Ofer Dekel, Joseph Keshet, Shai ShalevShwartz, and Yoram Singer. 2006. Online passiveaggressive algorithms. Journal of Machine Learning Research, 7:551–585. Sajib Dasgupta and Vincent Ng. 2009. Mine the easy, classify the hard: A semi-supervised approach to auto- matic sentiment classification. In Proceedings of ACLIJCNLP. Kushal Dave, Steve Lawrence, and David M. Pennock. 2003. Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In Proceedings of WWW. Pascal Denis and Jason Baldridge. 2007. Joint determination of anaphoricity and coreference resolution using integer programming. In Proceedings of NAACLHLT. Ahmed Hassan and Dragomir R. Radev. 2010. Identifying text polarity using random walks. In Proceedings of ACL, pages 395–403, Uppsala, Sweden, July. Association for Computational Linguistics. Minqing Hu and Bing Liu. 2004. Mining and summarizing customer reviews. In Proceedings of SIGKDD. Nitin Jindal and Bing Liu. 2006. Identifying comparative sentences in text documents. In Proceedings of SIGIR. R. Karp. 1972. Reducibility among combinatorial problems. In R. Miller and J. Thatcher, editors, Complexity of Computer Computations, pages 85–103. Plenum Press. Soo-Min Kim and Eduard Hovy. 2006. Automatic identification of pro and con reasons in online reviews. In Proceedings of the COLING-ACL. Dan Klein and Christopher D. Manning. 2003. Fast exact inference with a factored model for natural language parsing. In In Advances in Neural Information Processing Systems 15 (NIPS, pages 3–10. MIT Press. Nozomi Kobayashi, Kentaro Inui, and Yuji Matsumoto. 2007. Extracting aspect-evaluation and aspect-of relations in opinion mining. In Proceedings of EMNLPCoNLL. Thomas L. Magnanti and Laurence A. Wolsey. 1994. Optimal trees. Andre Martins, Noah Smith, and Eric Xing. 2009. Concise integer linear programming formulations for dependency parsing. In Proceedings of ACL-IJCNLP. R. Mcdonald and F. Pereira. 2005. Identifying gene and protein mentions in text using conditional random fields. BMC Bioinformatics. 1341 Ryan Mcdonald and Fernando Pereira. 2006. Online learning of approximate dependency parsing algorithms. In Proc. of EACL, pages 81–88. Ramanathan Narayanan, Bing Liu, and Alok Choudhary. 2009. Sentiment analysis of conditional sentences. In Proceedings of EMNLP. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up? Sentiment classification using machine learning techniques. In Proc. of EMNLP 2002. Sebastian Riedel and James Clarke. 2006. Incremental integer linear programming for non-projective depen- dency parsing. In Proceedings of EMNLP. Ellen Riloff, Janyce Wiebe, and Theresa Wilson. 2003. Learning subjective nouns using extraction pattern bootstrapping. In Proceedings of the seventh conference on Natural language learning at HLT-NAACL. Swapna Somasundaran, Janyce Wiebe, and Josef Ruppenhofer. 2008. Discourse level opinion interpretation. In Proceedings of COLING. Hiroya Takamura, Takashi Inui, and Manabu Okumura. 2005. Extracting semantic orientations of words using spin model. In Proceedings of ACL. Yuanbin Wu, Qi Zhang, Xuangjing Huang, and Lide Wu. 2009. Phrase dependency parsing for opinion mining. In Proceedings of EMNLP.