28.4067, Books: Linked Lexical Knowledge Bases: Gurevych, Eckle-Kohler, Matuschek

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LINGUIST List: Vol-28-4067. Wed Oct 04 2017. ISSN: 1069 - 4875.

Subject: 28.4067, Books: Linked Lexical Knowledge Bases: Gurevych, Eckle-Kohler, Matuschek

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Date: Wed, 04 Oct 2017 12:22:57
From: David Schlangen [schlangen at morganclaypool.com]
Subject: Linked Lexical Knowledge Bases: Gurevych, Eckle-Kohler, Matuschek

 


Title: Linked Lexical Knowledge Bases 
Subtitle: Foundations and Applications 
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=958 


Author: Iryna Gurevych
Author: Judith Eckle-Kohler
Author: Michael Matuschek

Electronic: ISBN:  9781627059046 Pages: 146 Price: U.S. $ 40
Paperback: ISBN:  9781627059749 Pages: 146 Price: U.S. $ 50


Abstract:

This book conveys the fundamentals of Linked Lexical Knowledge Bases (LLKB)
and sheds light on their different aspects from various perspectives, focusing
on their construction and use in natural language processing (NLP). It
characterizes a wide range of both expert-based and collaboratively
constructed lexical knowledge bases. Only basic familiarity with NLP is
required and this book has been written for both students and researchers in
NLP and related fields who are interested in knowledge-based approaches to
language analysis and their applications.

Lexical Knowledge Bases (LKBs) are indispensable in many areas of natural
language processing, as they encode human knowledge of language in machine
readable form, and as such, they are required as a reference when machines
attempt to interpret natural language in accordance with human perception. In
recent years, numerous research efforts have led to the insight that to make
the best use of available knowledge, the orchestrated exploitation of
different LKBs is necessary. This allows us to not only extend the range of
covered words and senses, but also gives us the opportunity to obtain a richer
knowledge representation when a particular meaning of a word is covered in
more than one resource. Examples where such an orchestrated usage of LKBs
proved beneficial include word sense disambiguation, semantic role labeling,
semantic parsing, and text classification.

This book presents different kinds of automatic, manual, and collaborative
linkings between LKBs. A special chapter is devoted to the linking algorithms
employing text-based, graph-based, and joint modeling methods. Following this,
it presents a set of higher-level NLP tasks and algorithms, effectively
utilizing the knowledge in LLKBs. Among them, you will find advanced methods,
e.g., distant supervision, or continuous vector space models of knowledge
bases (KB), that have become widely used at the time of this book's writing.
Finally, multilingual applications of LLKB's, such as cross-lingual semantic
relatedness and computer-aided translation are discussed, as well as tools and
interfaces for exploring LLKBs, followed by conclusions and future research
directions.
 



Linguistic Field(s): Computational Linguistics
                     Lexicography


Written In: English  (eng)

See this book announcement on our website: 
http://linguistlist.org/pubs/books/get-book.cfm?BookID=119973

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