Algorithm Selection and Model Adaptation for ESL Correction Tasks

by Alla Rozovskaya , Dan Roth
Citations:2 - 0 self

Active Bibliography

8 Generating Confusion Sets for Context-Sensitive Error Correction – Alla Rozovskaya, Dan Roth
3 Grammatical Error Correction with Alternating Structure Optimization – Daniel Dahlmeier, Hwee Tou Ng
NAACL’10 Workshop on Innovative Use of NLP for Building Educational Applications Annotating ESL Errors: Challenges and Rewards – Alla Rozovskaya, Dan Roth
7 Annotating ESL Errors: Challenges and Rewards – Alla Rozovskaya, Dan Roth
Using Statistical Techniques and Web Search to Correct ESL Errors – unknown authors
5 Native Judgments of Non-Native Usage: Experiments in Preposition Error Detection – Joel R. Tetreault, Martin Chodorow
NAACL’10 Training Paradigms for Correcting Errors in Grammar and Usage – Alla Rozovskaya, Dan Roth
Large-Scale Semi-Supervised Learning for Natural Language Processing – Shane Bergsma - 2010
A STUDY OF STRUCTURED OUTPUT PROBLEMS IN NATURAL LANGUAGE PROCESSING BY – Vasin Punyakanok
1 University of Illinois System in HOO Text Correction Shared Task – Alla Rozovskaya, Mark Sammons, Joshua Gioja, Dan Roth
9 The ups and downs of preposition error detection in ESL writing – Joel R. Tetreault, Martin Chodorow - 2008
16 Web-Scale N-gram Models for Lexical Disambiguation – Shane Bergsma, Dekang Lin, Google Inc, Randy Goebel
Research Summary 1997-2001 – Dan Roth
Learning and Inference for Information Extraction Wen-tau Yih – unknown authors - 2005
5 The Role of PP Attachment in Preposition Generation – John Lee, Ola Knutsson
Exploiting Syntactic and Distributional Information for Spelling Correction with Web-Scale N-gram Models – Wei Xu C
Educational Testing Service – unknown authors
Educational Testing Service – unknown authors
A Beam-Search Decoder for Grammatical Error Correction – Daniel Dahlmeier, Hwee Tou Ng