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Active Learning by Labeling Features
Gregory Druck
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Burr Settles
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Andrew McCallum
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Paper Details:
Month: August
Year: 2009
Location: Singapore
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
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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Closing the Loop: Fast, Interactive Semi-Supervised Annotation With Queries on Features and Instances
Burr Settles
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Combining Lightly-Supervised Text Classification Models for Accurate Contextual Advertising
Yiping Jin
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Dittaya Wanvarie
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Phu Le
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Feature Selection as Causal Inference: Experiments with Text Classification
Michael J. Paul
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Using Transfer Learning to Assist Exploratory Corpus Annotation
Paul Felt
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Eric Ringger
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Kevin Seppi
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Kristian Heal
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evision PDF of 'Behavioral Factors in Interactive Training of Text Classifiers
Burr Settles
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Xiaojin Zhu
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Active Learning with Rationales for Text Classification
Manali Sharma
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Di Zhuang
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Mustafa Bilgic
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Rich Prior Knowledge in Learning for Natural Language Processing
Gregory Druck
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Kuzman Ganchev
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João Graça
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Sprinkling Topics for Weakly Supervised Text Classification
Swapnil Hingmire
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Sutanu Chakraborti
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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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Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning
Mengqiu Wang
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Christopher D. Manning
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Assessing Benefit from Feature Feedback in Active Learning for Text Classification
Shilpa Arora
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Eric Nyberg
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Active Learning with Multiple Annotations for Comparable Data Classification Task
Vamshi Ambati
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Sanjika Hewavitharana
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Stephan Vogel
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Jaime Carbonell
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Active Learning for Coreference Resolution
Timothy Miller
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Dmitriy Dligach
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Guergana Savova
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A Prototype Tool Set to Support Machine-Assisted Annotation
Brett South
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Shuying Shen
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Jianwei Leng
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Tyler Forbush
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Scott DuVall
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Wendy Chapman
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Active Learning with Transfer Learning
Chunyong Luo
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Yangsheng Ji
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Xinyu Dai
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Jiajun Chen
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No URLs Found
Field Of Study
Task
Information Retrieval
Language
English
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