Leverage Unlabeled Data for Abstractive Speech Summarization with Self-supervised Learning and Back-Summarization
Supervised approaches for Neural Abstractive Summarization require large annotated corpora that are costly to build. We present a French meeting summarization task where reports are predicted based on the automatic transcription of the meeting audio recor
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Alexey Karpov Rodmonga Potapova (Eds.)
Speech and Computer 22nd International Conference, SPECOM 2020 St. Petersburg, Russia, October 7–9, 2020 Proceedings
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Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science
Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
Founding Editor Jörg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/1244
Alexey Karpov Rodmonga Potapova (Eds.) •
Speech and Computer 22nd International Conference, SPECOM 2020 St. Petersburg, Russia, October 7–9, 2020 Proceedings
123
Editors Alexey Karpov St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences St. Petersburg, Russia
Rodmonga Potapova Institute for Applied and Mathematical Linguistics Moscow State Linguistic University Moscow, Russia
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-60275-8 ISBN 978-3-030-60276-5 (eBook) https://doi.org/10.1007/978-3-030-60276-5 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
SPECOM 2020 Preface
The International Conference on Speech and Computer (SPECOM) has become a regular event since the first SPECOM held in St. Petersburg, Russia, in October 1996. 24 years ago, SPECOM was established by the St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS) and the Herzen State Pedagogical University of Russia than