TAILIEUCHUNG - Báo cáo khoa học: "A Pilot Study of Opinion Summarization in Conversations"

This paper presents a pilot study of opinion summarization on conversations. We create a corpus containing extractive and abstractive summaries of speaker’s opinion towards a given topic using 88 telephone conversations. We adopt two methods to perform extractive summarization. The first one is a sentence-ranking method that linearly combines scores measured from different aspects including topic relevance, subjectivity, and sentence importance. | A Pilot Study of Opinion Summarization in Conversations Dong Wang Yang Liu The University of Texas at Dallas dongwang yangl@ Abstract This paper presents a pilot study of opinion summarization on conversations. We create a corpus containing extractive and abstractive summaries of speaker s opinion towards a given topic using 88 telephone conversations. We adopt two methods to perform extractive summarization. The first one is a sentence-ranking method that linearly combines 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 additional information about sentence-to-sentence relations extracted based on dialogue structure. Our evaluation results show that both methods significantly outperform the baseline approach that extracts the longest utterances. In particular we find that incorporating dialogue structure in the graph-based method contributes to the improved system performance. 1 Introduction Both sentiment analysis opinion recognition and summarization have been well studied in recent years in the natural language processing NLP community. Most of the previous work on sentiment analysis has been conducted on reviews. Summarization has been applied to different genres such as news articles scientific articles and speech domains including broadcast news meetings conversations and lectures. However opinion summarization has not been explored much. This can be useful for many domains especially for processing the increasing amount of conversation recordings telephone conversations customer service round-table discussions or interviews in broadcast programs where we often need to find a person s opinion or attitude for example how does the speaker think about capital punishment and why . This kind of questions can be treated as a topic-oriented opinion summarization task. Opinion summarization was .

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