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Semantic Web Challenges

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Cover of 'Semantic Web Challenges'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Second Open Knowledge Extraction Challenge
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    Chapter 2 Enhancing Entity Linking by Combining NER Models
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    Chapter 3 Collective Disambiguation and Semantic Annotation for Entity Linking and Typing
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    Chapter 4 DWS at the 2016 Open Knowledge Extraction Challenge: A Hearst-Like Pattern-Based Approach to Hypernym Extraction and Class Induction
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    Chapter 5 Entity Typing and Linking Using SPARQL Patterns and DBpedia
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    Chapter 6 Challenge on Fine-Grained Sentiment Analysis Within ESWC2016
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    Chapter 7 App2Check Extension for Sentiment Analysis of Amazon Products Reviews
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    Chapter 8 Sentiment Polarity Detection from Amazon Reviews: An Experimental Study
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    Chapter 9 Exploiting Propositions for Opinion Mining
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    Chapter 10 The IRMUDOSA System at ESWC-2016 Challenge on Semantic Sentiment Analysis
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    Chapter 11 A Knowledge-Based Approach for Aspect-Based Opinion Mining
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    Chapter 12 Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture
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    Chapter 13 6th Open Challenge on Question Answering over Linked Data (QALD-6)
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    Chapter 14 SPARKLIS on QALD-6 Statistical Questions
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    Chapter 15 Top-K Shortest Paths in Large Typed RDF Datasets Challenge
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    Chapter 16 Top-k Shortest Paths in Directed Labeled Multigraphs
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    Chapter 17 Modified MinG Algorithm to Find Top-K Shortest Paths from large RDF Graphs
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    Chapter 18 Using Triple Pattern Fragments to Enable Streaming of Top-k Shortest Paths via the Web
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    Chapter 19 Semantic Publishing Challenge – Assessing the Quality of Scientific Output in Its Ecosystem
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    Chapter 20 Reconstructing the Logical Structure of a Scientific Publication Using Machine Learning
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    Chapter 21 Automatically Identify and Label Sections in Scientific Journals Using Conditional Random Fields
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    Chapter 22 ACM: Article Content Miner for Assessing the Quality of Scientific Output
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    Chapter 23 Information Extraction from PDF Sources Based on Rule-Based System Using Integrated Formats
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    Chapter 24 An Automatic Workflow for the Formalization of Scholarly Articles’ Structural and Semantic Elements
Attention for Chapter 21: Automatically Identify and Label Sections in Scientific Journals Using Conditional Random Fields
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Chapter title
Automatically Identify and Label Sections in Scientific Journals Using Conditional Random Fields
Chapter number 21
Book title
Semantic Web Challenges
Published by
Springer, Cham, May 2016
DOI 10.1007/978-3-319-46565-4_21
Book ISBNs
978-3-31-946564-7, 978-3-31-946565-4
Authors

Sree Harsha Ramesh, Arnab Dhar, Raveena R. Kumar, Anjaly V., Sarath K.S., Jason Pearce, Krishna R. Sundaresan

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Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Other 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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