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Active Learning for Statistical Natural Language Parsing
Min Tang
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Xiaoqiang Luo
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Salim Roukos
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Paper Details:
Month: July
Year: 2002
Location: Philadelphia, Pennsylvania, USA
Venue:
ACL |
Citations
URL
Active Learning in Noisy Conditions for Spoken Language Understanding
Hossein Hadian
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Hossein Sameti
|
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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Active Learning for Post-Editing Based Incrementally Retrained MT
Aswarth Abhilash Dara
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Josef van Genabith
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Qun Liu
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John Judge
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Antonio Toral
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Using a Partially Annotated Corpus to Build a Dependency Parser for Japanese
Manabu Sassano
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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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Sample Selection for Statistical Parsing
Rebecca Hwa
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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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Ensemble-based Active Learning for Parse Selection
Miles Osborne
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Jason Baldridge
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Minimum Bayes-Risk Decoding for Statistical Machine Translation
Shankar Kumar
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William Byrne
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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-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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Ad Hoc Treebank Structures
Markus Dickinson
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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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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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Active learning for deep semantic parsing
Long Duong
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Hadi Afshar
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Dominique Estival
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Glen Pink
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Philip Cohen
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Mark Johnson
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Updating an NLP system to fit new domains: an empirical study on the sentence segmentation problem
Tong Zhang
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Fred Damerau
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David Johnson
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Active Learning and the Total Cost of Annotation
Jason Baldridge
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Miles Osborne
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A Weakly Supervised Learning Approach for Spoken Language Understanding
Wei-Lin Wu
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Ru-Zhan Lu
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Jian-Yong Duan
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Hui Liu
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Feng Gao
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Yu-Quan Chen
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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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Active Learning for Anaphora Resolution
Caroline Gasperin
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Domain Adaptation with Active Learning for Coreference Resolution
Shanheng Zhao
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Hwee Tou Ng
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Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser
Daniel Flannery
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Shinsuke Mori
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http://fofoca.mitre.org
Field Of Study
Task
Language Understanding
Tagging
Language
English
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