The People’s Web Meets NLP

Collaboratively Constructed Language Resources

  • Iryna Gurevych
  • Jungi Kim

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Approaches to Collaboratively Constructed Language Resources

    1. Front Matter
      Pages 1-1
    2. Jon Chamberlain, Karën Fort, Udo Kruschwitz, Mathieu Lafourcade, Massimo Poesio
      Pages 3-44
    3. Alessandro Oltramari, Guido Vetere, Isabella Chiari, Elisabetta Jezek, Fabio Massimo Zanzotto, Malvina Nissim et al.
      Pages 45-67
    4. Asanka Wasala, Reinhard Schäler, Jim Buckley, Ruvan Weerasinghe, Chris Exton
      Pages 69-99
    5. Iñaki Alegria, Unai Cabezon, Unai Fernandez de Betoño, Gorka Labaka, Aingeru Mayor, Kepa Sarasola et al.
      Pages 101-118
  3. Mining Knowledge from and Using Collaboratively Constructed Language Resources

    1. Front Matter
      Pages 119-119
    2. Oliver Ferschke, Johannes Daxenberger, Iryna Gurevych
      Pages 121-160
    3. Robert Speer, Catherine Havasi
      Pages 161-176
    4. Roberto Navigli, Simone Paolo Ponzetto
      Pages 177-197
    5. Jianxing Yu, Zheng-Jun Zha, Tat-Seng Chua
      Pages 199-240
    6. Bharath Dandala, Rada Mihalcea, Razvan Bunescu
      Pages 241-262
  4. Interconnecting and Managing Collaboratively Constructed Language Resources

    1. Front Matter
      Pages 263-263
    2. Sebastian Hellmann, Sören Auer
      Pages 287-313
    3. Christian Chiarcos, Steven Moran, Pablo N. Mendes, Sebastian Nordhoff, Richard Littauer
      Pages 315-348
    4. Sue Ellen Wright, Menzo Windhouwer, Ineke Schuurman, Marc Kemps-Snijders
      Pages 349-373
  5. Back Matter
    Pages 375-378

About this book

Introduction

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.

Keywords

68T50, Collaboratively Constructed Resource Collective Intelligence / Human Computation Computational Linguistics Language Resource Natural Language Processing

Editors and affiliations

  • Iryna Gurevych
    • 1
  • Jungi Kim
    • 2
  1. 1.Department of Computer Science, Ubiquitous Knowledge Processing(UKP)LabTechnische Universität DarmstadtDarmstadtGermany
  2. 2.Department of Computer Science, Ubiquitous Knowledge Processing (UKP) LaTechnische Universität DarmstadtDarmstadtGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-35085-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Humanities, Social Sciences and Law
  • Print ISBN 978-3-642-35084-9
  • Online ISBN 978-3-642-35085-6
  • Series Print ISSN 2192-032X
  • Series Online ISSN 2192-0338
  • About this book