Crowdsourcing Research Opportunities: Lessons from Natural Language Processing

Marta Sabou, K. Bontcheva, Arno Scharl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Although the field has led to promising early results, the use of crowdsourcing as an integral part of science projects is still regarded with skepticism by some, largely due to a lack of awareness of the opportunities and implications of utilizing these new techniques. We address this lack of awareness, firstly by highlighting the positive impacts that crowdsourcing has had on Natural Language Processing research. Secondly, we discuss the challenges of more complex methodologies, quality control, and the necessity to deal with ethical issues. We conclude with future trends and opportunities of crowdsourcing for science, including its potential for disseminating results, making science more accessible, and enriching educational programs.
Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
Place of PublicationGraz, Austria
PublisherACM Digital Library
Pages1-8
Number of pages8
ISBN (Print)978-1-4503-1242-4
DOIs
Publication statusPublished - 2012
Event12th International Conference on Knowledge Management and Knowledge Technologies - Austria, Graz, Austria
Duration: 5 Sept 20127 Sept 2012

Conference

Conference12th International Conference on Knowledge Management and Knowledge Technologies
Abbreviated titlei-Know 2012
Country/TerritoryAustria
CityGraz
Period05/09/201207/09/2012

Keywords

  • Measurement
  • Experimentation
  • Human Factors
  • Languages
  • Verification
  • Crowdsourcing
  • Games with a Purpose
  • Resource Acquisition
  • Natural Language Processing

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