David Kauchak
David Kauchak
Associate Professor of Computer Science, Pomona College
Potvrđena adresa e-pošte na
Modeling word burstiness using the Dirichlet distribution
RE Madsen, D Kauchak, C Elkan
Proceedings of the 22nd international conference on Machine learning, 545-552, 2005
Simple English Wikipedia: a new text simplification task
W Coster, D Kauchak
Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011
Paraphrasing for automatic evaluation
D Kauchak, R Barzilay
Proceedings of the Human Language Technology Conference of the NAACL, Main …, 2006
Learning to simplify sentences using wikipedia
W Coster, D Kauchak
Proceedings of the workshop on monolingual text-to-text generation, 1-9, 2011
Improving Text Simplification Language Modeling Using Unsimplified Text Data.
D Kauchak
ACL, 1537-1546, 2013
Learning a lexical simplifier using wikipedia
C Horn, C Manduca, D Kauchak
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
User evaluation of the effects of a text simplification algorithm using term familiarity on perception, understanding, learning, and information retention
G Leroy, JE Endicott, D Kauchak, O Mouradi, M Just
Journal of medical Internet research 15 (7), e2569, 2013
A user-study measuring the effects of lexical simplification and coherence enhancement on perceived and actual text difficulty
G Leroy, D Kauchak, O Mouradi
International journal of medical informatics 82 (8), 717-730, 2013
The effect of word familiarity on actual and perceived text difficulty
G Leroy, D Kauchak
Journal of the American Medical Informatics Association 21 (e1), e169-e172, 2014
Sentence simplification as tree transduction
D Feblowitz, D Kauchak
Proceedings of the second workshop on predicting and improving text …, 2013
Improving perceived and actual text difficulty for health information consumers using semi-automated methods
G Leroy, JE Endicott, O Mouradi, D Kauchak, ML Just
AMIA Annual Symposium Proceedings 2012, 522, 2012
Feature-based segmentation of narrative documents
D Kauchak, F Chen
Proceedings of the ACL Workshop on Feature Engineering for Machine Learning …, 2005
NegAIT: A new parser for medical text simplification using morphological, sentential and double negation
P Mukherjee, G Leroy, D Kauchak, S Rajanarayanan, DYR Diaz, ...
Journal of biomedical informatics 69, 55-62, 2017
Text simplification tools: Using machine learning to discover features that identify difficult text
D Kauchak, O Mouradi, C Pentoney, G Leroy
2014 47th Hawaii international conference on system sciences, 2616-2625, 2014
Moving beyond readability metrics for health-related text simplification
D Kauchak, G Leroy
IT professional 18 (3), 45-51, 2016
Improving consumer understanding of medical text: Development and validation of a new subsimplify algorithm to automatically generate term explanations in English and Spanish
N Kloehn, G Leroy, D Kauchak, Y Gu, S Colina, NP Yuan, D Revere
Journal of medical Internet research 20 (8), e10779, 2018
Measuring text difficulty using parse‐tree frequency
D Kauchak, G Leroy, A Hogue
Journal of the Association for Information Science and Technology 68 (9 …, 2017
Sources of success for boosted wrapper induction
D Kauchak, J Smarr, C Elkan
Journal of Machine Learning Research 5 (May), 499-527, 2004
Sources of success for information extraction methods
D Kauchak, J Smarr, C Elkan
Using lexical chains to identify text difficulty: a corpus statistics and classification study
P Mukherjee, G Leroy, D Kauchak
IEEE journal of biomedical and health informatics 23 (5), 2164-2173, 2018
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