Named Entities for Computational Linguistics

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A01=Damien Nouvel
A01=Maud Ehrmann
A01=Sophie Rosset
accessing
ambitious
Author_Damien Nouvel
Author_Maud Ehrmann
Author_Sophie Rosset
basic
basic representation
Category=CFX
Category=UYQL
concept
entities
entity
eq_bestseller
eq_computing
eq_dictionaries-language-reference
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
formulas
information
introduction
load
name
named entities
nlp
notions
proper
reference
referential
referential function
return
traditional

Product details

  • ISBN 9781848218383
  • Weight: 431g
  • Dimensions: 165 x 241mm
  • Publication Date: 08 Jan 2016
  • Publisher: ISTE Ltd and John Wiley & Sons Inc
  • Publication City/Country: GB
  • Product Form: Hardback
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One of the challenges brought on by the digital revolution of the recent decades is the mechanism by which information carried by texts can be extracted in order to access its contents.

The processing of named entities remains a very active area of research, which plays a central role in natural language processing technologies and their applications. Named entity recognition, a tool used in information extraction tasks, focuses on recognizing small pieces of information in order to extract information on a larger scale.

The authors use written text and examples in French and English to present the necessary elements for the readers to familiarize themselves with the main concepts related to named entities and to discover the problems associated with them, as well as the methods available in practice for solving these issues.

Damien Nouvel is Associate Professor at the National Institute of Oriental Languages And Civilizations (Inalto) in Paris, France.

Maud Ehrmann is a Research Scientist at EPFL (École polytechnique fédérale de Lausanne) in Geneva, Switzerland.

Sophie Rosset is a Senior Researcher at the French National Centre for Scientific Research (CNRS) in Paris, France.

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