Abstract
This work shows how to construct discourse-level opinion graphs to perform a joint interpretation of opinions and discourse relations. Specifically, our opinion graphs enable us to factor in discourse information for polarity classification, and polarity information for discourse-link classification. This inter-dependent framework can be used to augment and improve the performance of local polarity and discourse-link classifiers.
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CITATION STYLE
Somasundaran, S., Namata, G., Getoor, L., & Wiebe, J. (2009). Opinion graphs for polarity and discourse classification. In ACL-IJCNLP 2009 - TextGraphs 2009: 2009 Workshop on Graph-Based Methods for Natural Language Processing, Proceedings of the Workshop (pp. 66–74). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1708124.1708138
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