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Phrase detectives: Utilizing collective intelligence for internet-scale language resource creation

Phrase detectives: Utilizing collective intelligence for internet-scale language resource creation Phrase Detectives: Utilizing Collective Intelligence for Internet-Scale Language Resource Creation MASSIMO POESIO, JON CHAMBERLAIN, and UDO KRUSCHWITZ, University of Essex LIVIO ROBALDO, University of Turin LUCA DUCCESCHI, University of Utrecht/Verona We are witnessing a paradigm shift in Human Language Technology (HLT) that may well have an impact on the field comparable to the statistical revolution: acquiring large-scale resources by exploiting collective intelligence. An illustration of this new approach is Phrase Detectives, an interactive online game with a purpose for creating anaphorically annotated resources that makes use of a highly distributed population of contributors with different levels of expertise. The purpose of this article is to first of all give an overview of all aspects of Phrase Detectives, from the design of the game and the HLT methods we used to the results we have obtained so far. It furthermore summarizes the lessons that we have learned in developing this game which should help other researchers to design and implement similar games. Categories and Subject Descriptors: H.5.2 [Information Interfaces and Presentation]: User Interfaces-- Natural language General Terms: Human Factors, Design Additional Key Words and Phrases: Web cooperation, resource creation, human language technology, games with a purpose, corpus annotation, anaphora http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Interactive Intelligent Systems (TiiS) Association for Computing Machinery

Phrase detectives: Utilizing collective intelligence for internet-scale language resource creation

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2013 by ACM Inc.
ISSN
2160-6455
DOI
http://dx.doi.org/10.1145/2448116.2448119
Publisher site
See Article on Publisher Site

Abstract

Phrase Detectives: Utilizing Collective Intelligence for Internet-Scale Language Resource Creation MASSIMO POESIO, JON CHAMBERLAIN, and UDO KRUSCHWITZ, University of Essex LIVIO ROBALDO, University of Turin LUCA DUCCESCHI, University of Utrecht/Verona We are witnessing a paradigm shift in Human Language Technology (HLT) that may well have an impact on the field comparable to the statistical revolution: acquiring large-scale resources by exploiting collective intelligence. An illustration of this new approach is Phrase Detectives, an interactive online game with a purpose for creating anaphorically annotated resources that makes use of a highly distributed population of contributors with different levels of expertise. The purpose of this article is to first of all give an overview of all aspects of Phrase Detectives, from the design of the game and the HLT methods we used to the results we have obtained so far. It furthermore summarizes the lessons that we have learned in developing this game which should help other researchers to design and implement similar games. Categories and Subject Descriptors: H.5.2 [Information Interfaces and Presentation]: User Interfaces-- Natural language General Terms: Human Factors, Design Additional Key Words and Phrases: Web cooperation, resource creation, human language technology, games with a purpose, corpus annotation, anaphora

Journal

ACM Transactions on Interactive Intelligent Systems (TiiS) – Association for Computing Machinery

Published: Apr 1, 2013

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