Paper: Partially Supervised Coreference Resolution For Opinion Summarization Through Structured Rule Learning

ACL ID W06-1640
Title Partially Supervised Coreference Resolution For Opinion Summarization Through Structured Rule Learning
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2006
Authors

Combining fine-grained opinion informa- tion to produce opinion summaries is im- portant for sentiment analysis applica- tions. Toward that end, we tackle the problem of source coreference resolution – linking together source mentions that re- fer to the same entity. The partially super- vised nature of the problem leads us to de- fine and approach it as the novel problem of partially supervised clustering. We pro- pose and evaluate a new algorithm for the task of source coreference resolution that outperforms competitive baselines.