Identifying sources of opinions with conditional random fields and extraction patterns
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Emotion holder for emotional verbs – the role of subject and syntax
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Roles of event actors and sentiment holders in identifying event-sentiment association
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
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Opinion holder extraction research is important for discriminating between opinions that are viewed from different perspectives. In this paper, we describe our experience of participation in the NTCIR-6 Opinion Analysis Pilot Task by focusing on opinion holder extraction results in Japanese and English. Our approach to opinion holder extraction was based on the discrimination between author and authority viewpoints in opinionated sentences, and the evaluation results were fair with respect to the Japanese documents.