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Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding

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Cover of 'Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Adaptive Multilingual Representations for Cross-Lingual Entity Linking with Attention on Entity Descriptions
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    Chapter 2 Context-Dependent Representation of Knowledge Graphs
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    Chapter 3 Construction and Application of Teaching System Based on Crowdsourcing Knowledge Graph
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    Chapter 4 Cross-Lingual Entity Linking in Wikipedia Infoboxes
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    Chapter 5 Incorporating Domain and Range of Relations for Knowledge Graph Completion
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    Chapter 6 REKA: Relation Extraction with Knowledge-Aware Attention
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    Chapter 7 Research on Construction and Automatic Expansion of Multi-source Lexical Semantic Knowledge Base
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    Chapter 8 A Survey of Question Answering over Knowledge Base
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    Chapter 9 Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention
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    Chapter 10 A Practical Framework for Evaluating the Quality of Knowledge Graph
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    Chapter 11 Entity Subword Encoding for Chinese Long Entity Recognition
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    Chapter 12 AliMe KBQA: Question Answering over Structured Knowledge for E-Commerce Customer Service
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    Chapter 13 CN-StartEnd: A Chinese Event Base Recording Start and End for Everything
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    Chapter 14 Overview of CCKS 2018 Task 1: Named Entity Recognition in Chinese Electronic Medical Records
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    Chapter 15 A Conditional VAE-Based Conversation Model
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    Chapter 16 Emerging Entity Discovery Using Web Sources
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    Chapter 17 Named Entity Recognition for Open Domain Data Based on Distant Supervision
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    Chapter 18 Geography-Enhanced Link Prediction Framework for Knowledge Graph Completion
Attention for Chapter 4: Cross-Lingual Entity Linking in Wikipedia Infoboxes
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Chapter title
Cross-Lingual Entity Linking in Wikipedia Infoboxes
Chapter number 4
Book title
Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding
Published by
Springer, Singapore, August 2019
DOI 10.1007/978-981-15-1956-7_4
Book ISBNs
978-9-81-151955-0, 978-9-81-151956-7
Authors

Juheng Yang, Zhichun Wang

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Student > Ph. D. Student 1 25%
Unknown 2 50%
Readers by discipline Count As %
Unspecified 1 25%
Computer Science 1 25%
Unknown 2 50%