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Multi-Criteria-based Active Learning for Named Entity Recognition
Dan Shen
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Jie Zhang
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Jian Su
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Guodong Zhou
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Chew-Lim Tan
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Paper Details:
Month: July
Year: 2004
Location: Barcelona, Spain
Venue:
ACL |
Citations
URL
Stopping Criteria for Active Learning of Named Entity Recognition
Florian Laws
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Hinrich Schütze
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Multi-Criteria-Based Strategy to Stop Active Learning for Data Annotation
Jingbo Zhu
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Huizhen Wang
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Eduard Hovy
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Active Learning with Sampling by Uncertainty and Density for Word Sense Disambiguation and Text Classification
Jingbo Zhu
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Huizhen Wang
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Tianshun Yao
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Benjamin K Tsou
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An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data
Katrin Tomanek
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Joachim Wermter
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Udo Hahn
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Domain adaptive bootstrapping for named entity recognition
Dan Wu
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Wee Sun Lee
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Nan Ye
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Hai Leong Chieu
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Clustering-Based Stratified Seed Sampling for Semi-Supervised Relation Classification
Longhua Qian
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Guodong Zhou
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Discriminative Sample Selection for Statistical Machine Translation
Sankaranarayanan Ananthakrishnan
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Rohit Prasad
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David Stallard
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Prem Natarajan
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Bootstrapping Named Entity Recognition with Automatically Generated Gazetteer Lists
Zornitsa Kozareva
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Learning a Stopping Criterion for Active Learning for Word Sense Disambiguation and Text Classification
Jingbo Zhu
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Huizhen Wang
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Eduard Hovy
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Towards Automated Semantic Analysis on Biomedical Research Articles
Donghui Feng
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Gully Burns
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Jingbo Zhu
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Eduard Hovy
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Exploiting Domain Structure for Named Entity Recognition
Jing Jiang
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ChengXiang Zhai
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An Empirical Study of the Behavior of Active Learning for Word Sense Disambiguation
Jinying Chen
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Andrew Schein
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Lyle Ungar
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Martha Palmer
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Multi-Task Active Learning for Linguistic Annotations
Roi Reichart
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Katrin Tomanek
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Udo Hahn
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Ari Rappoport
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Evaluating the Impact of Coder Errors on Active Learning
Ines Rehbein
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Josef Ruppenhofer
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Improving Chinese Word Segmentation on Micro-blog Using Rich Punctuations
Longkai Zhang
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Li Li
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Zhengyan He
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Houfeng Wang
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Ni Sun
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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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Empirical Study on the Performance Stability of Named Entity Recognition Model across Domains
Hong Lei Guo
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Li Zhang
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Zhong Su
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Active Annotation
Andreas Vlachos
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Bootstrapping and Evaluating Named Entity Recognition in the Biomedical Domain
Andreas Vlachos
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Caroline Gasperin
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Evaluating and combining and biomedical named entity recognition systems
Andreas Vlachos
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Accelerating the Annotation of Sparse Named Entities by Dynamic Sentence Selection
Yoshimasa Tsuruoka
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Jun’ichi Tsujii
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Sophia Ananiadou
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An Intrinsic Stopping Criterion for Committee-Based Active Learning
Fredrik Olsson
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Katrin Tomanek
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Active Learning for Anaphora Resolution
Caroline Gasperin
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A Web Survey on the Use of Active Learning to Support Annotation of Text Data
Katrin Tomanek
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Fredrik Olsson
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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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Analysis of Stopping Active Learning based on Stabilizing Predictions
Michael Bloodgood
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John Grothendieck
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No URLs Found
Field Of Study
Task
Tagging
Chunking
Named Entity Recognition
Information Extraction
Biomedical
Language
English
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