Paper: A Pilot Study of Opinion Summarization in Conversations

ACL ID P11-1034
Title A Pilot Study of Opinion Summarization in Conversations
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011

This paper presents a pilot study of opinion summarization on conversations. We create a corpus containing extractive and abstrac- tive summaries of speaker’s opinion towards a given topic using 88 telephone conversa- tions. We adopt two methods to perform ex- tractive summarization. The first one is a sentence-ranking method that linearly com- bines scores measured from different aspects including topic relevance, subjectivity, and sentence importance. The second one is a graph-based method, which incorporates topic and sentiment information, as well as addi- tional information about sentence-to-sentence relations extracted based on dialogue struc- ture. Our evaluation results show that both methods significantly outperform the baseline approach that extracts the longest utterances. In ...