Abstract
A new task is identified in the ongoing analysis of opinions: finding propositional opinions, sentential complement clauses of verbs such as “believe” or “claim” that express opinions, and the holders of these opinions. An extension of semantic parsing techniques is proposed that, coupled with additional lexical and syntactic features, can extract these propositional opinions and their opinion holders. A small corpus of 5,139 sentences is annotated with propositional opinion information, and is used for training and evaluation. While our results are still quite preliminary (precisions of 43–51% and recalls of 58–68%), we feel that our focus on opinion clauses, and in general the use of rich syntactic features, helps point to an important new direction in opinion detection.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
9. Bibliography
Baker, C., Fillmore, C., and Lowe, J. (1998) The Berkeley FrameNet project. In Proceedings of the Joint Conference on Computational Linguistics and the 36th Annual Meeting of the ACL (COLING-ACL98). Montreal, Canada: Association for Computational Linguistics.
Gildea, D. and Jurafsky, D. (2002) Automatic labeling of semantic roles. Computational Linguistics 28(3):245–288.
Hatzivassiloglou, V. and McKeown, K. R. (1997) Predicting the semantic orientation of adjectives. In Proceedings of the 35th Annual Meeting of the ACL and the 8th Conference of the European Chapter of the ACL, 174–181. Madrid, Spain: Association for Computational Linguistics.
Hatzivassiloglou, V. and Wiebe, J. (2000) Effects of adjective orientation and gradability on sentence subjectivity. In Proceedings of the Conference on Computational Linguistics (COLING-2000).
Joachims, T. (1998) Text categorization with Support Vector Machines: Learning with many relevant features. In Proceeding of the European Conference on Machine Learning.
Kingsbury, P., Palmer, M., and Marcus, M. (2002) Adding semantic annotation to the Penn TreeBank. In Proceedings of the Human Language Technology Conference.
Miller, G., Beckwith, R., Fellbaum, C., Gross, D., and Miller, K. (1990) Introduction to WordNet: An on-line lexical database. International Journal of Lexicography 3(4):235–312.
Pang, B., Lee, L., and Vaithyanathan, S. (2002) Thumps up? Sentiment classification using machine learning techniques. In Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP-02).
Pradhan, S., Hacioglu, K., Ward, W., Martin, J., and Jurafsky, D. (2003) Semantic role parsing: Adding semantic structure to unstructured text. In Proceedings of the International Conference on Data Mining (ICDM-2003).
Riloff, E., Wiebe, J., and Wilson, T. (2003) Learning subjective nouns using extraction pattern bootstrapping. In Proceedings of the Seventh Conference on Natural Language Learning (CoNLL-03).
Turney, P. (2002) Thumps up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics.
Wiebe, J., Bruce, R., and O’Hara, T. (1999) Development and use of a gold standard data set for subjectivity classifications. In Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics (ACL-99), 246–253.
Wiebe, J. (2000) Learning subjective adjectives from corpora. In Proceedings of the 17th National Conference on Artificial Intelligence (AAAI-2000).
Wiebe, J., Wilson, T., Bruce, R., Bell, M., and Martin, M. (2002) Learning subjective language. Technical Report TR-02-100, Department of Computer Science, University of Pittsburgh, Pittsburgh, Pennsylvania.
Yu, H., and Hatzivassiloglou, V. (2003) Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-03).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer
About this chapter
Cite this chapter
Bethard, S., Yu, H., Thornton, A., Hatzivassiloglou, V., Jurafsky, D. (2006). Extracting Opinion Propositions and Opinion Holders using Syntactic and Lexical Cues. In: Shanahan, J.G., Qu, Y., Wiebe, J. (eds) Computing Attitude and Affect in Text: Theory and Applications. The Information Retrieval Series, vol 20. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4102-0_11
Download citation
DOI: https://doi.org/10.1007/1-4020-4102-0_11
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-4026-9
Online ISBN: 978-1-4020-4102-0
eBook Packages: Computer ScienceComputer Science (R0)