LEADER 02399nam 2200505 450 001 9910814419603321 005 20230808213149.0 010 $a1-119-26858-3 010 $a1-119-26857-5 035 $a(CKB)3710000000563519 035 $a(EBL)4332418 035 $a(MiAaPQ)EBC4332418 035 $a(Au-PeEL)EBL4332418 035 $a(CaPaEBR)ebr11152575 035 $a(CaONFJC)MIL887446 035 $a(OCoLC)934770335 035 $a(EXLCZ)993710000000563519 100 $a20160217h20162016 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aNamed entities for computational linguistics /$fDamien Nouvel, Maud Ehrmann, Sophie Rosset 210 1$aLondon, England ;$aHoboken, New Jersey :$cISTE Ltd :$cWiley,$d2016. 210 4$dİ2016 215 $a1 online resource (187 p.) 300 $aDescription based upon print version of record. 311 $a1-119-26856-7 311 $a1-84821-838-9 320 $aIncludes bibliographical references and index. 330 8 $aOne of the challenges brought on by the digital revolution of the recent decades is the mechanism by which information carried by texts can be extracted in order to access its contents. The processing of named entities remains a very active area of research, which plays a central role in natural language processing technologies and their applications. Named entity recognition, a tool used in information extraction tasks, focuses on recognizing small pieces of information in order to extract information on a larger scale. The authors use written text and examples in French and English to present the necessary elements for the readers to familiarize themselves with the main concepts related to named entities and to discover the problems associated with them, as well as the methods available in practice for solving these issues.--$cSource other than Library of Congress. 606 $aComputational linguistics$xResearch 615 0$aComputational linguistics$xResearch. 676 $a006.35 700 $aNouvel$b Damien$01647646 702 $aEhrmann$b Maud 702 $aRosset$b Sophie 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910814419603321 996 $aNamed entities for computational linguistics$94099437 997 $aUNINA