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Rule Writing or Annotation: Cost-efficient Resource Usage for Base Noun Phrase Chunking
Grace Ngai
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David Yarowsky
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Paper Details:
Month: October
Year: 2000
Location: Hong Kong
Venue:
ACL |
Citations
URL
Confidence Estimation for Machine Translation
John Blatz
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Erin Fitzgerald
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George Foster
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Simona Gandrabur
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Cyril Goutte
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Alex Kulesza
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Alberto Sanchis
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Nicola Ueffing
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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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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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Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
Omar Zaidan
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Jason Eisner
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How well does active learning actually work? Time-based evaluation of cost-reduction strategies for language documentation.
Jason Baldridge
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Alexis Palmer
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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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Sample Selection for Statistical Parsing
Rebecca Hwa
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Approximating Learning Curves for Active-Learning-Driven Annotation
Katrin Tomanek
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Udo Hahn
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Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study
Eric Ringger
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Marc Carmen
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Robbie Haertel
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Kevin Seppi
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Deryle Lonsdale
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Peter McClanahan
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James Carroll
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Noel Ellison
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Example Selection for Bootstrapping Statistical Parsers
Mark Steedman
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Rebecca Hwa
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Stephen Clark
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Miles Osborne
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Anoop Sarkar
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Julia Hockenmaier
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Paul Ruhlen
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Steven Baker
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Jeremiah Crim
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Serial Combination of Rules and Statistics: A Case Study in Czech Tagging
Jan Hajic
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Pavel Krbec
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Pavel Kveton
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Karel Oliva
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Vladimir Petkevic
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An Empirical Study of Active Learning with Support Vector Machines forJapanese Word Segmentation
Manabu Sassano
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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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Analysis of Selective Strategies to Build a Dependency-Analyzed Corpus
Kiyonori Ohtake
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An Ensemble Method for Selection of High Quality Parses
Roi Reichart
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Ari Rappoport
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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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Assessing the Costs of Sampling Methods in Active Learning for Annotation
Robbie Haertel
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Eric Ringger
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Kevin Seppi
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James Carroll
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Peter McClanahan
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Semi-Supervised Active Learning for Sequence Labeling
Katrin Tomanek
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Udo Hahn
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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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Evaluating the Impact of Coder Errors on Active Learning
Ines Rehbein
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Josef Ruppenhofer
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Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages
Dan Garrette
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Jason Mielens
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Jason Baldridge
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ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling
Forough Poursabzi-Sangdeh
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Jordan Boyd-Graber
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Leah Findlater
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Kevin Seppi
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Coaxing Confidences from an Old Freind: Probabilistic Classifications from Transformation Rule Lists
Radu Florian
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John C. Henderson
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Grace Ngai
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On minimizing training corpus for parser acquisition
Rebecca Hwa
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Investigating the Effects of Selective Sampling on the Annotation Task
Ben Hachey
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Beatrice Alex
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Markus Becker
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Tagging Portuguese with a Spanish Tagger
Jirka Hana
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Anna Feldman
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Luiz Amaral
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Chris Brew
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Efficient Annotation with the Jena ANnotation Environment (JANE)
Katrin Tomanek
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Joachim Wermter
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Udo Hahn
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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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No URLs Found
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