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Using Mechanical Turk to Build Machine Translation Evaluation Sets
Michael Bloodgood
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Chris Callison-Burch
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Paper Details:
Month: June
Year: 2010
Location: Los Angeles
Venue:
WS |
Citations
URL
Data-Driven Response Generation in Social Media
Alan Ritter
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Colin Cherry
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William B. Dolan
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Divide and Conquer: Crowdsourcing the Creation of Cross-Lingual Textual Entailment Corpora
Matteo Negri
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Luisa Bentivogli
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Yashar Mehdad
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Danilo Giampiccolo
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Alessandro Marchetti
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Translation memory retrieval methods
Michael Bloodgood
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Benjamin Strauss
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Comparing methods for deriving intensity scores for adjectives
Josef Ruppenhofer
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Michael Wiegand
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Jasper Brandes
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Crowdsourcing Annotation of Non-Local Semantic Roles
Parvin Sadat Feizabadi
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Sebastian Padó
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Last Words: On the Problem of Theoretical Terms in Empirical Computational Linguistics
Stefan Riezler
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Can the Crowd be Controlled?: A Case Study on Crowd Sourcing and Automatic Validation of Completed Tasks based on User Modeling
Balamurali A.R
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Manual and Automatic Paraphrases for MT Evaluation
Aleš Tamchyna
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Petra Barančíková
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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 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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Automatic Building and Using Parallel Resources for SMT from Comparable Corpora
Santanu Pal
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Partha Pakray
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Sudip Kumar Naskar
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Analyzing Argumentative Discourse Units in Online Interactions
Debanjan Ghosh
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Smaranda Muresan
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Nina Wacholder
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Mark Aakhus
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Matthew Mitsui
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Lexical Acquisition for Opinion Inference: A Sense-Level Lexicon of Benefactive and Malefactive Events
Yoonjung Choi
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Lingjia Deng
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Janyce Wiebe
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Exploring Mental Lexicon in an Efficient and Economic Way: Crowdsourcing Method for Linguistic Experiments
Shichang Wang
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Chu-Ren Huang
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Yao Yao
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Angel Chan
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Crowdsourcing Language Generation Templates for Dialogue Systems
Margaret Mitchell
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Dan Bohus
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Ece Kamar
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Building a Semantic Transparency Dataset of Chinese Nominal Compounds: A Practice of Crowdsourcing Methodology
Shichang Wang
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Chu-Ren Huang
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Yao Yao
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Angel Chan
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http://www.itl.nist.gov/iad/894.01/tests/mt/2009/
Field Of Study
Linguistic Trends
Syntax
Task
Machine Translation
Language
Urdu
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