Semantic Web Evaluation Challenges - Communications in Computer and Information Science
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Published By Springer International Publishing

9783319255170, 9783319255187

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Using FRED for Named Entity Resolution, Linking and Typing for Knowledge Base Population

Semantic Web Evaluation Challenges - Communications in Computer and Information Science ◽

10.1007/978-3-319-25518-7_4 ◽

2015 ◽

pp. 40-50 ◽

Cited By ~ 7

Author(s):

Sergio Consoli ◽

Diego Reforgiato Recupero

Keyword(s):

Knowledge Base ◽

Entity Resolution ◽

Base Population ◽

Named Entity ◽

Knowledge Base Population

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MACJa: Metadata and Citations Jailbreaker

Semantic Web Evaluation Challenges - Communications in Computer and Information Science ◽

10.1007/978-3-319-25518-7_10 ◽

2015 ◽

pp. 117-128 ◽

Cited By ~ 4

Author(s):

Andrea Giovanni Nuzzolese ◽

Silvio Peroni ◽

Diego Reforgiato Recupero

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Information Extraction from Web Sources Based on Multi-aspect Content Analysis

Semantic Web Evaluation Challenges - Communications in Computer and Information Science ◽

10.1007/978-3-319-25518-7_7 ◽

2015 ◽

pp. 81-92 ◽

Cited By ~ 5

Author(s):

Martin Milicka ◽

Radek Burget

Keyword(s):

Content Analysis ◽

Information Extraction

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The Schema-Agnostic Queries (SAQ-2015) Semantic Web Challenge: Task Description

Semantic Web Evaluation Challenges - Communications in Computer and Information Science ◽

10.1007/978-3-319-25518-7_16 ◽

2015 ◽

pp. 191-198 ◽

Cited By ~ 1

Author(s):

André Freitas ◽

Christina Unger

Keyword(s):

Semantic Web ◽

Task Description

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An Information Retrieval-Based System for Multi-domain Sentiment Analysis

Semantic Web Evaluation Challenges - Communications in Computer and Information Science ◽

10.1007/978-3-319-25518-7_20 ◽

2015 ◽

pp. 234-243 ◽

Cited By ~ 12

Author(s):

Giulio Petrucci ◽

Mauro Dragoni

Keyword(s):

Information Retrieval ◽

Sentiment Analysis

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Machine Learning Techniques for Automatically Extracting Contextual Information from Scientific Publications

Semantic Web Evaluation Challenges - Communications in Computer and Information Science ◽

10.1007/978-3-319-25518-7_9 ◽

2015 ◽

pp. 105-116 ◽

Cited By ~ 6

Author(s):

Stefan Klampfl ◽

Roman Kern

Keyword(s):

Machine Learning ◽

Contextual Information ◽

Machine Learning Techniques ◽

Scientific Publications ◽

Learning Techniques

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The Benefit of Concept-Based Features for Sentiment Analysis

Semantic Web Evaluation Challenges - Communications in Computer and Information Science ◽

10.1007/978-3-319-25518-7_19 ◽

2015 ◽

pp. 223-233 ◽

Cited By ~ 8

Author(s):

Kim Schouten ◽

Flavius Frasincar

Keyword(s):

Sentiment Analysis

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A Hybrid Approach for Entity Recognition and Linking

Semantic Web Evaluation Challenges - Communications in Computer and Information Science ◽

10.1007/978-3-319-25518-7_3 ◽

2015 ◽

pp. 28-39 ◽

Cited By ~ 12

Author(s):

Julien Plu ◽

Giuseppe Rizzo ◽

Raphaël Troncy

Keyword(s):

Hybrid Approach ◽

Entity Recognition

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Exploiting Linked Open Data to Uncover Entity Types

Semantic Web Evaluation Challenges - Communications in Computer and Information Science ◽

10.1007/978-3-319-25518-7_5 ◽

2015 ◽

pp. 51-62 ◽

Cited By ~ 6

Author(s):

Jie Gao ◽

Suvodeep Mazumdar

Keyword(s):

Open Data ◽

Linked Open Data

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On the Automated Generation of Scholarly Publishing Linked Datasets: The Case of CEUR-WS Proceedings

Semantic Web Evaluation Challenges - Communications in Computer and Information Science ◽

10.1007/978-3-319-25518-7_15 ◽

2015 ◽

pp. 177-188 ◽

Cited By ~ 4

Author(s):

Francesco Ronzano ◽

Beatriz Fisas ◽

Gerard Casamayor del Bosque ◽

Horacio Saggion

Keyword(s):

Scholarly Publishing ◽

Automated Generation

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Semantic Web Evaluation Challenges - Communications in Computer and Information ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Using FRED for Named Entity Resolution, Linking and Typing for Knowledge Base Population

MACJa: Metadata and Citations Jailbreaker

Information Extraction from Web Sources Based on Multi-aspect Content Analysis

The Schema-Agnostic Queries (SAQ-2015) Semantic Web Challenge: Task Description

An Information Retrieval-Based System for Multi-domain Sentiment Analysis

Machine Learning Techniques for Automatically Extracting Contextual Information from Scientific Publications

The Benefit of Concept-Based Features for Sentiment Analysis

A Hybrid Approach for Entity Recognition and Linking

Exploiting Linked Open Data to Uncover Entity Types

On the Automated Generation of Scholarly Publishing Linked Datasets: The Case of CEUR-WS Proceedings

Semantic Web Evaluation Challenges - Communications in Computer and Information Science
Latest Publications