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Using Mechanical Turk to Annotate Lexicons for Less Commonly Used Languages
Ann Irvine
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Alexandre Klementiev
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Paper Details:
Month: June
Year: 2010
Location: Los Angeles
Venue:
WS |
Citations
URL
Online Gaming for Crowd-sourcing Phrase-equivalents
A. Kumaran
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Melissa Densmore
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Shaishav Kumar
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Crowdsourcing for the identification of event nominals: an experiment
Rachele Sprugnoli
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Alessandro Lenci
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Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines
Marta Sabou
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Kalina Bontcheva
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Leon Derczynski
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Arno Scharl
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Crowdsourcing Ontology Lexicons
Bettina Lanser
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Christina Unger
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Philipp Cimiano
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Supervised Bilingual Lexicon Induction with Multiple Monolingual Signals
Ann Irvine
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Chris Callison-Burch
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Collecting Highly Parallel Data for Paraphrase Evaluation
David Chen
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William Dolan
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Crowdsourcing Translation: Professional Quality from Non-Professionals
Omar F. Zaidan
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Chris Callison-Burch
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The Arabic Online Commentary Dataset: an Annotated Dataset of Informal Arabic with High Dialectal Content
Omar F. Zaidan
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Chris Callison-Burch
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They Can Help: Using Crowdsourcing to Improve the Evaluation of Grammatical Error Detection Systems
Nitin Madnani
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Martin Chodorow
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Joel Tetreault
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Alla Rozovskaya
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The Language Demographics of Amazon Mechanical Turk
Ellie Pavlick
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Matt Post
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Ann Irvine
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Dmitry Kachaev
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Chris Callison-Burch
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Language Identification for Creating Language-Specific Twitter Collections
Shane Bergsma
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Paul McNamee
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Mossaab Bagdouri
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Clayton Fink
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Theresa Wilson
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No URLs Found
Field Of Study