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    <abstract>We present the joint task of incremental disfluency detection and utterance segmentation and a simple deep learning system which performs it on transcripts and ASR results. We show how the constraints of the two tasks interact. Our joint-task system outperforms the equivalent individual task systems, provides competitive results and is suitable for future use in conversation agents in the psychiatric domain.</abstract>
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%0 Conference Proceedings
%T Joint, Incremental Disfluency Detection and Utterance Segmentation from Speech
%A Hough, Julian
%A Schlangen, David
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
%D 2017
%8 apr
%I Association for Computational Linguistics
%C Valencia, Spain
%F hough-schlangen-2017-joint
%X We present the joint task of incremental disfluency detection and utterance segmentation and a simple deep learning system which performs it on transcripts and ASR results. We show how the constraints of the two tasks interact. Our joint-task system outperforms the equivalent individual task systems, provides competitive results and is suitable for future use in conversation agents in the psychiatric domain.
%U https://aclanthology.org/E17-1031
%P 326-336

Markdown (Informal)

[Joint, Incremental Disfluency Detection and Utterance Segmentation from Speech](https://aclanthology.org/E17-1031) (Hough & Schlangen, EACL 2017)

• Joint, Incremental Disfluency Detection and Utterance Segmentation from Speech (Hough & Schlangen, EACL 2017)

ACL

• Julian Hough and David Schlangen. 2017. Joint, Incremental Disfluency Detection and Utterance Segmentation from Speech. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 326–336, Valencia, Spain. Association for Computational Linguistics.