28.4033, Books: Domain-Sensitive Temporal Tagging: Strötgen, Gertz
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LINGUIST List: Vol-28-4033. Mon Oct 02 2017. ISSN: 1069 - 4875.
Subject: 28.4033, Books: Domain-Sensitive Temporal Tagging: Strötgen, Gertz
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Date: Mon, 02 Oct 2017 12:05:07
From: David Schlangen [schlangen at morganclaypool.com]
Subject: Domain-Sensitive Temporal Tagging: Strötgen, Gertz
Title: Domain-Sensitive Temporal Tagging
Series Title: Synthesis Lectures on Human Language Technologies edited by Graeme Hirst
Publication Year: 2017
Publisher: Morgan & Claypool Publishers
http://www.morganclaypool.com
Book URL: http://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=961
Author: Jannik Strötgen
Author: Michael Gertz
Electronic: ISBN: 9781627054997 Pages: 151 Price: U.S. $ 44
Paperback: ISBN: 9781627054591 Pages: 151 Price: U.S. $ 55
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.
Linguistic Field(s): Computational Linguistics
Semantics
Written In: English (eng)
See this book announcement on our website:
http://linguistlist.org/pubs/books/get-book.cfm?BookID=119934
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