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Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
Omar Zaidan
|
Jason Eisner
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Paper Details:
Month: October
Year: 2008
Location: Honolulu, Hawaii
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Multi-Level Structured Models for Document-Level Sentiment Classification
Ainur Yessenalina
|
Yisong Yue
|
Claire Cardie
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A Non-negative Matrix Factorization Based Approach for Active Dual Supervision from Document and Word Labels
Chao Shen
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Tao Li
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Rationale-Augmented Convolutional Neural Networks for Text Classification
Ye Zhang
|
Iain Marshall
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Byron C. Wallace
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Regularizing Text Categorization with Clusters of Words
Konstantinos Skianis
|
François Rousseau
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Michalis Vazirgiannis
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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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Feature Selection as Causal Inference: Experiments with Text Classification
Michael J. Paul
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Automatically Generating Annotator Rationales to Improve Sentiment Classification
Ainur Yessenalina
|
Yejin Choi
|
Claire Cardie
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Model Architectures for Quotation Detection
Christian Scheible
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Roman Klinger
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Sebastian Padó
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Training Classifiers with Natural Language Explanations
Braden Hancock
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Paroma Varma
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Stephanie Wang
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Martin Bringmann
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Percy Liang
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Christopher Ré
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Interactive Feature Space Construction using Semantic Information
Dan Roth
|
Kevin Small
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Active Dual Supervision: Reducing the Cost of Annotating Examples and Features
Prem Melville
|
Vikas Sindhwani
|
Orthogonal Matching Pursuit for Text Classification
Konstantinos Skianis
|
Nikolaos Tziortziotis
|
Michalis Vazirgiannis
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http://cs.jhu.edu/ozaidan/rationales
Field Of Study
Linguistic Trends
Syntax
Task
Sentiment Analysis
Summarization
Approach
Generative Model
Language
English
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