Automatic Summarization of Call-center Conversations

Benoit Favre, Firoj Alam, Shammur Chowdhury, Karan Singla, J. Trione, F. Béchet, Evgeny A. Stepanov, Giuseppe Riccardi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents the SENSEI approach to automatic summarization which represents spoken conversation in terms of factual descriptors and abstractive synopses that are useful for quality assurance supervision in call centers. We demonstrate a browser-based graphical system that automatically produces these summary descriptors and synopses.
Original languageEnglish
Title of host publicationIEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2015)
Publication statusPublished - 2015
Externally publishedYes

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