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dc.contributor.authorMadge, Cen_US
dc.contributor.authorChamberlain, Jen_US
dc.contributor.authorKruschwitz, Uen_US
dc.contributor.authorPoesio, Men_US
dc.date.accessioned2019-12-03T16:25:23Z
dc.date.issued2017-10-15en_US
dc.identifier.isbn9781450351119en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/61683
dc.descriptionPermission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a feeen_US
dc.description.abstract© 2017 Copyright is held by the owner/author(s). This paper describes TileAttack, an innovative highly configurable game-with-a-purpose (GWAP) designed to gather annotations for text segmentation tasks whilst exploring the effects of different game mechanics on GWAP for NLP (Natural Language Processing) problems, with a view to improving both quality of player contributions and player uptake. In this work we present a pilot experiment that shows TileAttack labelling "mentions" and being used to test the effects of in game time constraints on accuracy and player engagement. We present the results of this experiment using a set of metrics derived from those used for evaluating Free-To-Play (F2P) games.en_US
dc.format.extent397 - 404en_US
dc.language.isoenen_US
dc.rightsNon-commercial use only
dc.titleExperiment-driven development of a GWAP for marking segments in texten_US
dc.typeConference Proceeding
dc.rights.holder2017. The authors
dc.identifier.doi10.1145/3130859.3131332en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderDisagreements in Language Interpretation (DALI)::European Research Councilen_US


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