03639nam a22005895i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001500172072001700187072002300204072001600227100008400243245010200327250001800429264006900447300006500516336002600581337002600607338003600633347002400669490006600693505017800759520110700937650005902044650004602103650002902149650002302178650004902201650002102250650003602271650004602307650003602353650002902389650004102418650007102459650003602530700008502566700007902651710003402730773002602764776003602790776003602826776003602862830007302898856004602971912001503017999001703032978-3-031-74901-8DE-He21320251030114942.0cr nn 008mamaa250218s2024    sz |    s    |||| 0|eng d  a97830317490189978-3-031-74901-87 a10.1007/978-3-031-74901-82doi 4aQA76.9.N38 7aUYQL2bicssc 7aCOM0730002bisacsh 7aUYQL2thema1 aTsai, Chen-Tse.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut99080710aMultilingual Entity Linkingh[electronic resource] /cby Chen-Tse Tsai, Shyam Upadhyay, Dan Roth.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXIV, 154 p. 39 illus., 25 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSynthesis Lectures on Human Language Technologies,x1947-40590 aChapter 1 Introduction to Entity Discovery and Linking -- Chapter 2 Knowledge Bases, Datasets, and Evaluation -- Chapter 3 Overview of Entity Discovery and Linking Pipeline.  aThis book focuses on Entity Discovery and Linking (EDL), which is the problem of identifying concepts and entities, disambiguating them, and grounding them to one or more knowledge bases (KBs). The authors first provide background on the topic and emphasize why it is a crucial step toward understanding natural language text. As most of the content on the internet is not in English, the book also discusses cross-lingual EDL. The authors present the challenges associated with EDL problems and explain the existing solutions. The book covers the core challenges that apply to all EDL problems, as well as the additional challenges associated with cross-lingual EDL problems. The authors also survey relevant research papers, highlight recent trends, and identify areas for future research. Introduces entity discovery and linking and discusses its important role in natural language processing Explains the challenges and existing solutions to both monolingual and cross-lingual EDL problems Identifies resources for readers, including popular datasets, knowledge bases, and evaluation methodologies. 0aNatural language processing (Computer science).965131 0aExpert systems (Computer science).967822 0aMachine learning.955059 0aData mining.96941 0aImage processingxDigital techniques.964228 0aComputer vision. 0aArtificial intelligence.95844114aNatural Language Processing (NLP).96616424aKnowledge Based Systems.96782324aMachine Learning.95505924aData Mining and Knowledge Discovery.24aComputer Imaging, Vision, Pattern Recognition and Graphics.96555024aArtificial Intelligence.9584411 aUpadhyay, Shyam.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9908081 aRoth, Dan.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9908092 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303174900108iPrinted edition:z978303174902508iPrinted edition:z9783031749032 0aSynthesis Lectures on Human Language Technologies,x1947-405996685940uhttps://doi.org/10.1007/978-3-031-74901-8  aZDB-2-SXSC  c66713d66713