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Semi-Supervised Active Learning for Sequence Labeling
Katrin Tomanek
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Udo Hahn
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Paper Details:
Month: August
Year: 2009
Location: Suntec, Singapore
Venue:
ACL |
IJCNLP |
Citations
URL
A Comparison of Models for Cost-Sensitive Active Learning
Katrin Tomanek
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Udo Hahn
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An Experimental Comparison of Active Learning Strategies for Partially Labeled Sequences
Diego Marcheggiani
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Thierry Artières
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A Challenge Set and Methods for Noun-Verb Ambiguity
Ali Elkahky
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Kellie Webster
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Daniel Andor
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Emily Pitler
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APLenty: annotation tool for creating high-quality datasets using active and proactive learning
Minh-Quoc Nghiem
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Sophia Ananiadou
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Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation
Akiva Miura
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Graham Neubig
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Michael Paul
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Satoshi Nakamura
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Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
Michael Bloodgood
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Chris Callison-Burch
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A Cognitive Cost Model of Annotations Based on Eye-Tracking Data
Katrin Tomanek
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Udo Hahn
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Steffen Lohmann
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Jürgen Ziegler
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Discriminative Learning with Natural Annotations: Word Segmentation as a Case Study
Wenbin Jiang
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Meng Sun
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Yajuan Lü
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Yating Yang
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Qun Liu
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Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora
Longhua Qian
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Haotian Hui
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Ya’nan Hu
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Guodong Zhou
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Qiaoming Zhu
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Segmentation for Efficient Supervised Language Annotation with an Explicit Cost-Utility Tradeoff
Matthias Sperber
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Mirjam Simantzik
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Graham Neubig
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Satoshi Nakamura
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Alex Waibel
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Active Semi-Supervised Learning for Improving Word Alignment
Vamshi Ambati
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Stephan Vogel
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Jaime Carbonell
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No URLs Found
Field Of Study
Task
Tagging
Information Extraction
Approach
Semi-supervised Learning
Language
English
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