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    <titleInfo>
        <title>It’s All Fun and Games until Someone Annotates: Video Games with a Purpose for Linguistic Annotation</title>
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    <name type="personal">
        <namePart type="given">David</namePart>
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    <abstract>Annotated data is prerequisite for many NLP applications. Acquiring large-scale annotated corpora is a major bottleneck, requiring significant time and resources. Recent work has proposed turning annotation into a game to increase its appeal and lower its cost; however, current games are largely text-based and closely resemble traditional annotation tasks. We propose a new linguistic annotation paradigm that produces annotations from playing graphical video games. The effectiveness of this design is demonstrated using two video games: one to create a mapping from WordNet senses to images, and a second game that performs Word Sense Disambiguation. Both games produce accurate results. The first game yields annotation quality equal to that of experts and a cost reduction of 73% over equivalent crowdsourcing; the second game provides a 16.3% improvement in accuracy over current state-of-the-art sense disambiguation games with WordNet.</abstract>
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    <identifier type="doi">10.1162/tacl_a_00195</identifier>
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        <date>2014</date>
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%0 Journal Article
%T It’s All Fun and Games until Someone Annotates: Video Games with a Purpose for Linguistic Annotation
%A Jurgens, David
%A Navigli, Roberto
%J Transactions of the Association for Computational Linguistics
%D 2014
%V 2
%I MIT Press
%C Cambridge, MA
%F jurgens-navigli-2014-fun
%X Annotated data is prerequisite for many NLP applications. Acquiring large-scale annotated corpora is a major bottleneck, requiring significant time and resources. Recent work has proposed turning annotation into a game to increase its appeal and lower its cost; however, current games are largely text-based and closely resemble traditional annotation tasks. We propose a new linguistic annotation paradigm that produces annotations from playing graphical video games. The effectiveness of this design is demonstrated using two video games: one to create a mapping from WordNet senses to images, and a second game that performs Word Sense Disambiguation. Both games produce accurate results. The first game yields annotation quality equal to that of experts and a cost reduction of 73% over equivalent crowdsourcing; the second game provides a 16.3% improvement in accuracy over current state-of-the-art sense disambiguation games with WordNet.
%R 10.1162/tacl_a_00195
%U https://aclanthology.org/Q14-1035
%U https://doi.org/10.1162/tacl_a_00195
%P 449-464

Markdown (Informal)

[It’s All Fun and Games until Someone Annotates: Video Games with a Purpose for Linguistic Annotation](https://aclanthology.org/Q14-1035) (Jurgens & Navigli, TACL 2014)

• It’s All Fun and Games until Someone Annotates: Video Games with a Purpose for Linguistic Annotation (Jurgens & Navigli, TACL 2014)

ACL

• David Jurgens and Roberto Navigli. 2014. It’s All Fun and Games until Someone Annotates: Video Games with a Purpose for Linguistic Annotation. Transactions of the Association for Computational Linguistics, 2:449–464.