Название: Domain-Sensitive Temporal Tagging
Автор: Jannik Strötgen
Издательство: Ingram
Жанр: Программы
Серия: Synthesis Lectures on Human Language Technologies
isbn: 9781681731858
isbn:
2009
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Copyright © 2016 by Morgan & Claypool
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopy, recording, or any other except for brief quotations in printed reviews, without the prior permission of the publisher.
Domain-Sensitive Temporal Tagging
Jannik Strötgen and Michael Gertz
www.morganclaypool.com
ISBN: 9781627054591 paperback
ISBN: 9781627054997 ebook
DOI 10.2200/S00721ED1V01Y201606HLT036
A Publication in the Morgan & Claypool Publishers series
SYNTHESIS LECTURES ON HUMAN LANGUAGE TECHNOLOGIES
Lecture #36
Series Editor: Graeme Hirst, University of Toronto
Series ISSN
Print 1947-4040 Electronic 1947-4059
Domain-Sensitive Temporal Tagging
Jannik Strötgen
Max Planck Institute for Informatics, Saarbrücken, Germany
Michael Gertz
Heidelberg University, Germany
SYNTHESIS LECTURES ON HUMAN LANGUAGE TECHNOLOGIES #36
ABSTRACT
This book covers the topic of temporal tagging, the detection of temporal expressions and the normalization of their semantics to some standard format. It places a special focus on the challenges and opportunities of domain-sensitive temporal tagging. After providing background knowledge on the concept of time, the book continues with a comprehensive survey of current research on temporal tagging. The authors provide an overview of existing techniques and tools, and highlight key issues that need to be addressed. This book is a valuable resource for researchers and application developers who need to become familiar with the topic and want to know the recent trends, current tools and techniques, as well as different application domains in which temporal information is of utmost importance.
Due to the prevalence of temporal expressions in diverse types of documents and the importance of temporal information in any information space, temporal tagging is an important task in natural language processing (NLP), and applications of several domains can benefit from the output of temporal taggers to provide more meaningful and useful results.
In recent years, temporal tagging has been an active field in NLP and computational linguistics. Several approaches to temporal tagging have been proposed, annotation standards have been developed, gold standard data sets have been created, and research competitions have been organized. Furthermore, some temporal taggers have also been made publicly available so that temporal tagging output is not just exploited in research, but is finding its way into real world applications. In addition, this book particularly focuses on domain-specific temporal tagging of documents. This is a crucial aspect as different types of documents (e.g., news articles, narratives, and colloquial texts) result in diverse challenges for temporal taggers and should be processed in a domain-sensitive manner.
KEYWORDS
temporal tagging, temporal expressions, temporal annotation, time, time extraction, time recognition, time normalization, temporal information, domain sensitivity, cross-domain temporal tagging, domain-sensitive temporal tagging, information extraction, temporal information extraction, TIMEX3, TimeML, HeidelTime, timelines
Contents
1.1 The Task of Temporal Tagging
1.2 Application Examples Exploiting Temporal Tagging
2.1 Key Characteristics of Temporal Information
2.2 Temporal Expressions in Documents
2.3 Realizations of Temporal Expressions