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Active Learning and the Total Cost of Annotation
Jason Baldridge
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Miles Osborne
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Paper Details:
Month: July
Year: 2004
Location: Barcelona, Spain
Venue:
EMNLP |
WS |
SIG: SIGDAT
Citations
URL
Crowdsourcing Complex Language Resources: Playing to Annotate Dependency Syntax
Bruno Guillaume
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Karën Fort
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Nicolas Lefebvre
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Structured Prediction Models via the Matrix-Tree Theorem
Terry Koo
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Amir Globerson
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Xavier Carreras
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Michael Collins
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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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Online Learning of Relaxed CCG Grammars for Parsing to Logical Form
Luke Zettlemoyer
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Michael Collins
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Online Large-Margin Training for Statistical Machine Translation
Taro Watanabe
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Jun Suzuki
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Hajime Tsukada
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Hideki Isozaki
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A Multilingual Dependency Analysis System Using Online Passive-Aggressive Learning
Le-Minh Nguyen
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Akira Shimazu
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Phuong-Thai Nguyen
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Xuan-Hieu Phan
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Closing the Loop: Fast, Interactive Semi-Supervised Annotation With Queries on Features and Instances
Burr Settles
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Solving the AL Chicken-and-Egg Corpus and Model Problem: Model-free Active Learning for Phenomena-driven Corpus Construction
Dain Kaplan
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Neil Rubens
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Simone Teufel
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Takenobu Tokunaga
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Learning Structured Classifiers for Statistical Dependency Parsing
Qin Iris Wang
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Training Dependency Parser Using Light Feedback
Avihai Mejer
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Koby Crammer
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The Importance of Calibration for Estimating Proportions from Annotations
Dallas Card
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Noah A. Smith
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Analysis of Selective Strategies to Build a Dependency-Analyzed Corpus
Kiyonori Ohtake
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Structured Models for Fine-to-Coarse Sentiment Analysis
Ryan McDonald
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Kerry Hannan
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Tyler Neylon
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Mike Wells
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Jeff Reynar
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Constituent Parsing with Incremental Sigmoid Belief Networks
Ivan Titov
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James Henderson
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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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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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Reducing Annotation Effort for Quality Estimation via Active Learning
Daniel Beck
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Lucia Specia
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Trevor Cohn
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Active Annotation
Andreas Vlachos
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Perceptron Training for a Wide-Coverage Lexicalized-Grammar Parser
Stephen Clark
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James Curran
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Sample Selection for Statistical Parsers: Cognitively Driven Algorithms and Evaluation Measures
Roi Reichart
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Ari Rappoport
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Evaluating Automation Strategies in Language Documentation
Alexis Palmer
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Taesun Moon
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Jason Baldridge
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Using Variance as a Stopping Criterion for Active Learning of Frame Assignment
Masood Ghayoomi
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An Analytic and Empirical Evaluation of Return-on-Investment-Based Active Learning
Robbie Haertel
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Eric Ringger
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Kevin Seppi
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Paul Felt
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What I’ve learned about annotating informal text (and why you shouldn’t take my word for it)
Nathan Schneider
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Proactive Learning for Named Entity Recognition
Maolin Li
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Nhung Nguyen
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Sophia Ananiadou
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No URLs Found
Field Of Study
Language
English
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