Abstract
Abstract summarization of conversations is a very challenging task that requires full understanding of the dialog turns, their roles and relationships in the conversations. We present an efficient system, derived from a fully-fledged text analysis system that performs the necessary linguistic analysis of turns in conversations and provides useful argumentative labels to build synthetic abstractive summaries of conversations.
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Pallotta, V., Delmonte, R., Bristot, A. (2011). Abstractive Summarization of Voice Communications. In: Vetulani, Z. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2009. Lecture Notes in Computer Science(), vol 6562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20095-3_27
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DOI: https://doi.org/10.1007/978-3-642-20095-3_27
Publisher Name: Springer, Berlin, Heidelberg
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