Toward Opinion Summarization: Linking the Sources

COLING ACL 2006 - Workshop on Sentiment and Subjectivity in Text, Proceedings of the Workshop

Volumn , Issue , 2006, Pages 9-14

  Stoyanov, Veselin ^a   Cardie, Claire ^a  

^a Department of Computer Science and School of Operations Research and Information Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COREFERENCE RESOLUTION; NOUN PHRASE; STATE OF THE ART;

EID: 60249085303     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. A. Bagga and B. Baldwin. 1998. Entity-based cross-document coreferencing using the vector space model. In Proceedings of COLING/ACL.
2. S. Bethard, H. Yu, A. Thornton, V. Hativassiloglou, and D. Jurafsky. 2004. Automatic extraction of opinion propositions and their holders. In 2004 AAAI Spring Symposium on Exploring Attitude and Affect in Text.
3. Y. Choi, C. Cardie, E. Riloff, and S. Patwardhan. 2005. Identifying sources of opinions with conditional random fields and extraction patterns. In Proceedings of EMNLP.
4. W. Cohen. 1995. Fast effective rule induction. In Proceedings of ICML.
5. S. Das and M. Chen. 2001. Yahoo for amazon: Extracting market sentiment from stock message boards. In Proceedings of APFAAC.
6. K. Dave, S. Lawrence, and D. Pennock. 2003. Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. In Proceedings of IWWWC.
7. T. Joachims. 1998. Making large-scale support vector machine learning practical. In A. Smola B. Schölkopf, C. Burges, editor, Advances in Kernel Methods: Support Vector Machines. MIT Press, Cambridge, MA.
8. S. Kim and E. Hovy. 2005. Identifying opinion holders for question answering in opinion texts. In Proceedings of AAAI Workshop on Question Answering in Restricted Domains.
9. B. Liu, M. Hu, and J. Cheng. 2005. Opinion observer: Analyzing and comparing opinions on the web. In Proceedings of International World Wide Web Conference.
10. V. Ng and C. Cardie. 2002. Improving machine learning approaches to coreference resolution. In Proceedings of ACL.
11. B. Pang and L. Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of ACL.
12. B. Pang, L. Lee, and S. Vaithyanathan. 2002. Thumbs up? Sentiment classification using machine learning techniques. In Proceedings of EMNLP.
13. E. Riloff and J. Wiebe. 2003. Learning extraction patterns for subjective expressions. In Proceesings of EMNLP.
14. E. Riloff, J. Wiebe, and W. Phillips. 2005. Exploiting subjectivity classification to improve information extraction. In Proceedings of AAAI.
15. W. Soon, H. Ng, and D. Lim. 2001. A machine learning approach to coreference resolution of noun phrases. Computational Linguistics, 27(4).
16. V. Stoyanov and C. Cardie. 2006. Partially supervised coreference resolution for opinion summarization through structured rule learning. In Proceedings of EMNLP.
17. V. Stoyanov, C. Cardie, and J. Wiebe. 2005. Multi-Perspective question answering using the OpQA corpus. In Proceedings of EMNLP.
18. P. Turney. 2002. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In Proceedings of ACL.
19. M. Vilain, J. Burger, J. Aberdeen, D. Connolly, and L. Hirschman. 1995. A model-theoretic coreference scoring scheme. In Proceedings of MUC-6.
20. J. Wiebe and E. Riloff. 2005. Creating subjective and objective sentence classifiers from unannotated texts. In Proceedings of CICLing.
21. J. Wiebe, T. Wilson, and C. Cardie. 2005. Annotating expressions of opinions and emotions in language. Language Resources and Evaluation, 1(2).
22. T. Wilson and J. Wiebe. 2003. Annotating opinions in the world press. 4th SIGdial Workshop on Discourse and Dialogue (SIGdial-03).
23. T. Wilson, J. Wiebe, and R. Hwa. 2004. Just how mad are you? Finding strong and weak opinion clauses. In Proceedings of AAAI.
24. H. Yu and V. Hatzivassiloglou. 2003. Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In Proceedings of EMNLP.