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Efficient Computation of Entropy Gradient for Semi-Supervised Conditional Random Fields
Gideon Mann
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Andrew McCallum
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Paper Details:
Month: April
Year: 2007
Location: Rochester, New York
Venue:
NAACL |
Citations
URL
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
David A. Smith
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Jason Eisner
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An Analysis of Active Learning Strategies for Sequence Labeling Tasks
Burr Settles
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Mark Craven
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A Weakly-supervised Approach to Argumentative Zoning of Scientific Documents
Yufan Guo
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Anna Korhonen
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Thierry Poibeau
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Semi-Supervised Chinese Word Segmentation Using Partial-Label Learning With Conditional Random Fields
Fan Yang
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Paul Vozila
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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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On the Derivational Entropy of Left-to-Right Probabilistic Finite-State Automata and Hidden Markov Models
Joan Andreu Sánchez
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Martha Alicia Rocha
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Verónica Romero
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Mauricio Villegas
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Graph-based Semi-Supervised Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging
Xiaodong Zeng
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Derek F. Wong
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Lidia S. Chao
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Isabel Trancoso
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Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization
Xuezhe Ma
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Fei Xia
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Active Learning for Part-of-Speech Tagging: Accelerating Corpus Annotation
Eric Ringger
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Peter McClanahan
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Robbie Haertel
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George Busby
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Marc Carmen
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James Carroll
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Kevin Seppi
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Deryle Lonsdale
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No URLs Found
Field Of Study
Task
Tagging
Approach
Semi-supervised Learning
Language
English
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