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Multilingual Entity Linking [electronic resource] / by Chen-Tse Tsai, Shyam Upadhyay, Dan Roth.

By: Contributor(s): Material type: TextSeries: Synthesis Lectures on Human Language TechnologiesPublisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XIV, 154 p. 39 illus., 25 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031749018
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • QA76.9.N38
Online resources:
Contents:
Chapter 1 Introduction to Entity Discovery and Linking -- Chapter 2 Knowledge Bases, Datasets, and Evaluation -- Chapter 3 Overview of Entity Discovery and Linking Pipeline.
In: Springer Nature eBookSummary: 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. 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.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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Chapter 1 Introduction to Entity Discovery and Linking -- Chapter 2 Knowledge Bases, Datasets, and Evaluation -- Chapter 3 Overview of Entity Discovery and Linking Pipeline.

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. 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.

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