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Textual Predictors of Bill Survival in Congressional Committees
Tae Yano
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Noah A. Smith
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John D. Wilkerson
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Paper Details:
Month: June
Year: 2012
Location: Montréal, Canada
Venue:
NAACL |
Citations
URL
How Predictable is Your State? Leveraging Lexical and Contextual Information for Predicting Legislative Floor Action at the State Level
Vladimir Eidelman
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Anastassia Kornilova
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Daniel Argyle
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The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task
Roy Schwartz
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Maarten Sap
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Ioannis Konstas
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Leila Zilles
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Yejin Choi
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Noah A. Smith
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Linguistic Structured Sparsity in Text Categorization
Dani Yogatama
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Noah A. Smith
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Neural Discourse Structure for Text Categorization
Yangfeng Ji
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Noah A. Smith
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Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction
Anastassia Kornilova
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Daniel Argyle
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Vladimir Eidelman
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http://www.ark.cs.cmu.edu/bills
http://thomas.loc.gov/home/thomas.php
http://web.mit.edu/17.251/www/data_
http://congressionalbills.org
Field Of Study
Task
Sentiment Analysis
Summarization
Social Science
Language
English
Dataset
News
Blogs
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