Automatic generation of concise summaries of spoken dialogues in unrestricted domains
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Digesting virtual "geek" culture: the summarization of technical internet relay chats
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Detection of question-answer pairs in email conversations
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Summarizing microblogs automatically
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Social Influence Estimation for Short Texts in Plurk
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Expert Systems with Applications: An International Journal
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This paper presents a system to summarize a Microblog post and its responses with the goal to provide readers a more constructive and concise set of information for efficient digestion. We introduce a novel two-phase summarization scheme. In the first phase, the post plus its responses are classified into four categories based on the intention, interrogation, sharing, discussion and chat. For each type of post, in the second phase, we exploit different strategies, including opinion analysis, response pair identification, and response relevancy detection, to summarize and highlight critical information to display. This system provides an alternative thinking about machine-summarization: by utilizing AI approaches, computers are capable of constructing deeper and more user-friendly abstraction.