Ebook: The People’s Web Meets NLP: Collaboratively Constructed Language Resources
- Tags: Computational Linguistics, Document Preparation and Text Processing, Language Translation and Linguistics, Information Storage and Retrieval, Data Mining and Knowledge Discovery
- Series: Theory and Applications of Natural Language Processing
- Year: 2013
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
Collaboratively Constructed Language Resources (CCLRs) such as Wikipedia, Wiktionary, Linked Open Data, and various resources developed using crowdsourcing techniques such as Games with a Purpose and Mechanical Turk have substantially contributed to the research in natural language processing (NLP). Various NLP tasks utilize such resources to substitute for or supplement conventional lexical semantic resources and linguistically annotated corpora. These resources also provide an extensive body of texts from which valuable knowledge is mined. There are an increasing number of community efforts to link and maintain multiple linguistic resources.
This book aims offers comprehensive coverage of CCLR-related topics, including their construction, utilization in NLP tasks, and interlinkage and management. Various Bachelor/Master/Ph.D. programs in natural language processing, computational linguistics, and knowledge discovery can use this book both as the main text and as a supplementary reading. The book also provides a valuable reference guide for researchers and professionals for the above topics.
Collaboratively Constructed Language Resources (CCLRs) such as Wikipedia, Wiktionary, Linked Open Data, and various resources developed using crowdsourcing techniques such as Games with a Purpose and Mechanical Turk have substantially contributed to the research in natural language processing (NLP). Various NLP tasks utilize such resources to substitute for or supplement conventional lexical semantic resources and linguistically annotated corpora. These resources also provide an extensive body of texts from which valuable knowledge is mined. There are an increasing number of community efforts to link and maintain multiple linguistic resources.
This book offers comprehensive coverage of CCLR-related topics, including their construction, utilization in NLP tasks, and interlinkage and management. Various Bachelor/Master/Ph.D. programs in natural language processing, computational linguistics, and knowledge discovery can use this book both as either main textbook or supplementary reading. The book also provides a valuable reference guide for researchers and professionals for the above topics.
Collaboratively Constructed Language Resources (CCLRs) such as Wikipedia, Wiktionary, Linked Open Data, and various resources developed using crowdsourcing techniques such as Games with a Purpose and Mechanical Turk have substantially contributed to the research in natural language processing (NLP). Various NLP tasks utilize such resources to substitute for or supplement conventional lexical semantic resources and linguistically annotated corpora. These resources also provide an extensive body of texts from which valuable knowledge is mined. There are an increasing number of community efforts to link and maintain multiple linguistic resources.
This book offers comprehensive coverage of CCLR-related topics, including their construction, utilization in NLP tasks, and interlinkage and management. Various Bachelor/Master/Ph.D. programs in natural language processing, computational linguistics, and knowledge discovery can use this book both as either main textbook or supplementary reading. The book also provides a valuable reference guide for researchers and professionals for the above topics.
Content:
Front Matter....Pages i-xxiv
Front Matter....Pages 1-1
Using Games to Create Language Resources: Successes and Limitations of the Approach....Pages 3-44
Senso Comune: A Collaborative Knowledge Resource for Italian....Pages 45-67
Building Multilingual Language Resources in Web Localisation: A Crowdsourcing Approach....Pages 69-99
Reciprocal Enrichment Between Basque Wikipedia and Machine Translation....Pages 101-118
Front Matter....Pages 119-119
A Survey of NLP Methods and Resources for Analyzing the Collaborative Writing Process in Wikipedia....Pages 121-160
ConceptNet 5: A Large Semantic Network for Relational Knowledge....Pages 161-176
An Overview of BabelNet and its API for Multilingual Language Processing....Pages 177-197
Hierarchical Organization of Collaboratively Constructed Content....Pages 199-240
Word Sense Disambiguation Using Wikipedia....Pages 241-262
Front Matter....Pages 263-263
An Open Linguistic Infrastructure for Annotated Corpora....Pages 265-285
TowardsWeb-Scale Collaborative Knowledge Extraction....Pages 287-313
Building a Linked Open Data Cloud of Linguistic Resources: Motivations and Developments....Pages 315-348
Community Efforts Around the ISOcat Data Category Registry....Pages 349-373
Back Matter....Pages 375-378
Collaboratively Constructed Language Resources (CCLRs) such as Wikipedia, Wiktionary, Linked Open Data, and various resources developed using crowdsourcing techniques such as Games with a Purpose and Mechanical Turk have substantially contributed to the research in natural language processing (NLP). Various NLP tasks utilize such resources to substitute for or supplement conventional lexical semantic resources and linguistically annotated corpora. These resources also provide an extensive body of texts from which valuable knowledge is mined. There are an increasing number of community efforts to link and maintain multiple linguistic resources.
This book offers comprehensive coverage of CCLR-related topics, including their construction, utilization in NLP tasks, and interlinkage and management. Various Bachelor/Master/Ph.D. programs in natural language processing, computational linguistics, and knowledge discovery can use this book both as either main textbook or supplementary reading. The book also provides a valuable reference guide for researchers and professionals for the above topics.
Content:
Front Matter....Pages i-xxiv
Front Matter....Pages 1-1
Using Games to Create Language Resources: Successes and Limitations of the Approach....Pages 3-44
Senso Comune: A Collaborative Knowledge Resource for Italian....Pages 45-67
Building Multilingual Language Resources in Web Localisation: A Crowdsourcing Approach....Pages 69-99
Reciprocal Enrichment Between Basque Wikipedia and Machine Translation....Pages 101-118
Front Matter....Pages 119-119
A Survey of NLP Methods and Resources for Analyzing the Collaborative Writing Process in Wikipedia....Pages 121-160
ConceptNet 5: A Large Semantic Network for Relational Knowledge....Pages 161-176
An Overview of BabelNet and its API for Multilingual Language Processing....Pages 177-197
Hierarchical Organization of Collaboratively Constructed Content....Pages 199-240
Word Sense Disambiguation Using Wikipedia....Pages 241-262
Front Matter....Pages 263-263
An Open Linguistic Infrastructure for Annotated Corpora....Pages 265-285
TowardsWeb-Scale Collaborative Knowledge Extraction....Pages 287-313
Building a Linked Open Data Cloud of Linguistic Resources: Motivations and Developments....Pages 315-348
Community Efforts Around the ISOcat Data Category Registry....Pages 349-373
Back Matter....Pages 375-378
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