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Large-Scale Knowledge Resources. Construction and Application

Overview of attention for book
Cover of 'Large-Scale Knowledge Resources. Construction and Application'

Table of Contents

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    Book Overview
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    Chapter 1 From Information to Intelligence: The Role of Relative Significance in Decision Making and Inference
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    Chapter 2 Comparing LDA with pLSI as a Dimensionality Reduction Method in Document Clustering
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    Chapter 3 Identification of MCMC Samples for Clustering
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    Chapter 4 TGC-Tree: An Online Algorithm Tracing Closed Itemset and Transaction Set Simultaneously
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    Chapter 5 Extracting Concepts from Religious Knowledge Resources and Constructing Classic Analysis Systems
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    Chapter 6 What Types of Translations Hide in Wikipedia?
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    Chapter 7 Initial Solution Set Improvement for a Genetic Algorithm in a Metadata Generation Support System for Landscape Photographs
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    Chapter 8 Identifying Semantic Relations in Japanese Compound Nouns for Patent Documents Analysis
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    Chapter 9 Extracting Prehistories of Software Refactorings from Version Archives
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    Chapter 10 Initiatives, Tendencies and Driving Forces for a “Lexical Web” as Part of a “Language Infrastructure”
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    Chapter 11 Corpus Annotation/Management Tools for the Project: Balanced Corpus of Contemporary Written Japanese
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    Chapter 12 Capturing the Structures in Association Knowledge: Application of Network Analyses to Large-Scale Databases of Japanese Word Associations
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    Chapter 13 Construction of a Probabilistic Hierarchical Structure Based on a Japanese Corpus and a Japanese Thesaurus
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    Chapter 14 CHISE: Character Processing Based on Character Ontology
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    Chapter 15 Systematization of Knowledge about Performative Verbs: Capturing Speaker’s Intention
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    Chapter 16 Toward Construction of a Corpus of English Learners’ Utterances Annotated with Speaker Proficiency Profiles: Data Collection and Sample Annotation
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    Chapter 17 Filling the Gap between a Large-Scale Database and Multimodal Interactions
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    Chapter 18 Design and Prototype of a Large-Scale and Fully Sense-Tagged Corpus
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    Chapter 19 Soccer Formation Classification Based on Fisher Weight Map and Gaussian Mixture Models
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    Chapter 20 Large-Scale Knowledge Resources. Construction and Application
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    Chapter 21 Automatic Score Scene Detection for Baseball Video
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    Chapter 22 Large Scale e-Language Laboratory Based on Web 2.0
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    Chapter 23 Distant Collocations between Suppositional Adverbs and Clause-Final Modality Forms in Japanese Language Corpora
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    Chapter 24 Using Singular Value Decomposition to Compute Answer Similarity in a Language Independent Approach to Question Answering
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    Chapter 25 On the Representation of Perceptual Knowledge for Understanding Reference Expressions
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    Chapter 26 A Computational Model of Risk-Context-Dependent Inductive Reasoning Based on a Support Vector Machine
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    Chapter 27 Order Retrieval
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    Chapter 28 Stylistic Analysis of Japanese Prime Ministers’ Diet Addresses
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    Chapter 29 Evaluation of Logical Thinking Ability through Contributions in a Learning Community
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    Chapter 30 Web Architecture and Naming for Knowledge Resources
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    Chapter 31 Towards Better Evaluation for Human Language Technology
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    Chapter 32 An Effective Scheduling Scheme for Information Searching with Computational Resources Scattered over a Large-Scale Network
Overall attention for this book and its chapters
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Citations

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Title
Large-Scale Knowledge Resources. Construction and Application
Published by
Springer Berlin Heidelberg, February 2008
DOI 10.1007/978-3-540-78159-2
ISBNs
978-3-54-078158-5, 978-3-54-078159-2
Editors

Tokunaga, Takenobu, Ortega, Antonio

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Master 2 20%
Researcher 2 20%
Student > Doctoral Student 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 4 40%
Linguistics 2 20%
Business, Management and Accounting 1 10%
Psychology 1 10%
Social Sciences 1 10%
Other 1 10%

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