Conditioned Text Generation with Transfer for Closed-Domain Dialogue Systems
Scarcity of training data for task-oriented dialogue systems is a well known problem that is usually tackled with costly and time-consuming manual data annotation. An alternative solution is to rely on automatic text generation which, although less accura
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Luis Espinosa-Anke Carlos Martín-Vide Irena Spasic´ (Eds.)
Statistical Language and Speech Processing 8th International Conference, SLSP 2020 Cardiff, UK, October 14–16, 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
Luis Espinosa-Anke Carlos Martín-Vide Irena Spasić (Eds.) •
•
Statistical Language and Speech Processing 8th International Conference, SLSP 2020 Cardiff, UK, October 14–16, 2020 Proceedings
123
Editors Luis Espinosa-Anke Cardiff University Cardiff, UK
Carlos Martín-Vide Rovira i Virgili University Tarragona, Spain
Irena Spasić Cardiff University Cardiff, UK
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-59429-9 ISBN 978-3-030-59430-5 (eBook) https://doi.org/10.1007/978-3-030-59430-5 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
Preface
These proceedings contain the papers that were presented at the 8th International Conference on Statistical Language and Speech Processing (SLSP 2020), held in Cardiff, UK, during October 14–16, 2020. The scope of SLSP deals with topics of either theoretical or applied interest, discussing the employment of statistical models (including machine learning) within language and speech processing, na
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