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An Empirical Study of Active Learning with Support Vector Machines forJapanese Word Segmentation
Manabu Sassano
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Paper Details:
Month: July
Year: 2002
Location: Philadelphia, Pennsylvania, USA
Venue:
ACL |
Citations
URL
Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information
Xipeng Qiu
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ChaoChao Huang
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Xuanjing Huang
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An Effective Hybrid Machine Learning Approach for Coreference Resolution
Feiliang Ren
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Jingbo Zhu
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Language Resource Addition: Dictionary or Corpus?
Shinsuke Mori
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Graham Neubig
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Active Learning with Confidence
Mark Dredze
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Koby Crammer
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Using Smaller Constituents Rather Than Sentences in Active Learning for Japanese Dependency Parsing
Manabu Sassano
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Sadao Kurohashi
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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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Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning
François Mairesse
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Milica Gašić
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Filip Jurčíček
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Simon Keizer
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Blaise Thomson
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Kai Yu
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Steve Young
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Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis
Graham Neubig
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Yosuke Nakata
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Shinsuke Mori
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Virtual Examples for Text Classification with Support Vector Machines
Manabu Sassano
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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
Corpus Annotation
Chunking
Word Segmentation
Approach
Unsupervised Learning
Language
English
Japanese
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