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Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation
Cem Akkaya
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Alexander Conrad
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Janyce Wiebe
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Rada Mihalcea
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Paper Details:
Month: June
Year: 2010
Location: Los Angeles
Venue:
WS |
Citations
URL
Detecting Subgroups in Online Discussions by Modeling Positive and Negative Relations among Participants
Ahmed Hassan
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Amjad Abu-Jbara
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Dragomir Radev
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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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Lexicon-Based Methods for Sentiment Analysis
Maite Taboada
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Julian Brooke
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Milan Tofiloski
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Kimberly Voll
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Manfred Stede
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When Transliteration Met Crowdsourcing : An Empirical Study of Transliteration via Crowdsourcing using Efficient, Non-redundant and Fair Quality Control
Mitesh M. Khapra
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Ananthakrishnan Ramanathan
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Anoop Kunchukuttan
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Karthik Visweswariah
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Pushpak Bhattacharyya
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Expectations of Word Sense in Parallel Corpora
Xuchen Yao
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Benjamin Van Durme
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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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Improving the Impact of Subjectivity Word Sense Disambiguation on Contextual Opinion Analysis
Cem Akkaya
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Janyce Wiebe
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Alexander Conrad
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Rada Mihalcea
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Extracting Signed Social Networks from Text
Ahmed Hassan
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Amjad Abu-Jbara
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Dragomir Radev
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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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Creating and Validating Multilingual Semantic Representations for Six Languages: Expert versus Non-Expert Crowds
Mahmoud El-Haj
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Paul Rayson
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Scott Piao
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Stephen Wattam
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Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation
Tommaso Caselli
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Oana Inel
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http://mturk.amazon.com
http://www.cs.pitt.edu/mpqa/
http://www.lrec-
Field Of Study
Task
Tagging
Word Sense Disambiguation
Sentiment Analysis
Knowledge Acquisition
Language
English
Dataset
News
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