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A01=Chen-Tse Tsai
A01=Dan Roth
A01=Shyam Upadhyay
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Age Group_Uncategorized
Author_Chen-Tse Tsai
Author_Dan Roth
Author_Shyam Upadhyay
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Category1=Non-Fiction
Category=UNF
Category=UYQ
Category=UYQE
Category=UYQL
Category=UYQM
Category=UYT
COP=Switzerland
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€20 to €50
PS=Forthcoming
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Multilingual Entity Linking

English

By (author): Chen-Tse Tsai Dan Roth Shyam Upadhyay

This 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.

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A01=Chen-Tse TsaiA01=Dan RothA01=Shyam UpadhyayAge Group_UncategorizedAuthor_Chen-Tse TsaiAuthor_Dan RothAuthor_Shyam Upadhyayautomatic-updateCategory1=Non-FictionCategory=UNFCategory=UYQCategory=UYQECategory=UYQLCategory=UYQMCategory=UYTCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€20 to €50PS=Forthcomingsoftlaunch

Will deliver when available. Publication date 18 Jan 2025

Product Details
  • Dimensions: 168 x 240mm
  • Publication Date: 18 Jan 2025
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031749001

About Chen-Tse TsaiDan RothShyam Upadhyay

Chen-Tse Tsai Ph.D. is a Senior Research Scientist at Bloomberg specializing in information extraction and time series prediction. He received his Ph.D. in Computer Science from the University of Illinois Urbana-Champaign and his masters degree in Computer Science from the National Taiwan University. Chen-Tse has authored over 20 papers presented at top-tier NLP and ML conferences including EMNLP NAACL EACL CoNLL and AAAI. As an action editor for ACL Rolling Review and a reviewer for various NLP conferences and journals he actively contributes to the scholarly community.   Shyam Upadhyay Ph.D. is a Staff Research Scientist at Google where he has worked on products such as the Google Assistant and Gemini. He received his Ph.D. in Natural Language Processing (NLP) from the University of Pennsylvania in 2019 where his focus was on multilingual representation learning and low-resource NLP. He has published over 20 papers at top-tier NLP conferences such as EMNLP ACL NAACL *SEM Interspeech and AAAI. He has also served as the action editor for ACL rolling review associate editor for ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) and as an area chair for several ACL conferences.   Dan Roth Ph.D. is the Eduardo D. Glandt Distinguished Professor at the University of Pennsylvania Department of Computer and Information Science a VP and Distinguished Scientist at Amazon AWS AI and a Fellow of the AAAS the ACM AAAI and the ACL. He received his Ph.D. in Computer Science from Harvard University and his B.A Summa cum laude in Mathematics from the Technion Israel. Roth has published broadly in machine learning natural language processing knowledge representation and reasoning and learning theory and has developed advanced machine learning based tools for natural language applications that are being used widely. In 2017 Roth was awarded the John McCarthy Award the highest award the AI community gives to mid-career AI researchers.

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