Henk Harkema

20 papers B 1C 1Misc 4Journal 4Unranked 10
YearRankTypeTitle / Venue / Authors
2018 Misc conf
Social Context Sentence Classification from Psychiatric Reports using Positive and Unlabeled Learning.
AMIA
José D. Posada, Lingyun Shi, Sergio M. Castro, Shyam Visweswaran, Neal D. Ryan, Henk Harkema, Rich Tsui
2016 Misc conf
Use of Freetext Clinical Reports for Prediction of 30-Day Psychiatric Readmissions.
AMIA
José D. Posada, Lingyun Shi, Ye Ye, Frank A. Ghinassi, Neal D. Ryan, Henk Harkema, Rich Tsui
2013 J jnl
Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation.
J. Am. Medical Informatics Assoc.
Jeffrey P. Ferraro, Hal Daumé III, Scott L. DuVall, Wendy Webber Chapman, Henk Harkema, Peter J. Haug
2013 Misc conf
Semantic Annotation of Clinical Events for Generating a Problem List.
AMIA
Danielle L. Mowery, Pamela W. Jordan, Janyce Wiebe, Henk Harkema, Wendy W. Chapman
2012 J jnl
Building an automated SOAP classifier for emergency department reports.
J. Biomed. Informatics
Danielle L. Mowery, Janyce Wiebe, Shyam Visweswaran, Henk Harkema, Wendy Webber Chapman
2012 — conf
Using Natural Language Processing to Extract Drug-Drug Interaction Information from Package Inserts.
BioNLP@HLT-NAACL
Richard D. Boyce, Gregory Gardner, Henk Harkema
2011 J jnl
Developing a natural language processing application for measuring the quality of colonoscopy procedures.
J. Am. Medical Informatics Assoc.
Henk Harkema, Wendy Webber Chapman, Melissa I. Saul, Evan S. Dellon, Robert E. Schoen, Ateev Mehrotra
2010 — conf
Leveraging the semantic web and natural language processing to enhance drug-mechanism knowledge in drug product labels.
IHI
Richard D. Boyce, Henk Harkema, Mike Conway
2009 J jnl
ConText: An algorithm for determining negation, experiencer, and temporal status from clinical reports.
J. Biomed. Informatics
Henk Harkema, John N. Dowling, Tyler Thornblade, Wendy Webber Chapman
2009 — conf
Distinguishing Historical from Current Problems in Clinical Reports - Which Textual Features Help?
BioNLP@HLT-NAACL
Danielle L. Mowery, Henk Harkema, John N. Dowling, Jonathan L. Lustgarten, Wendy W. Chapman
2009 Misc conf
Methodology to Develop and Evaluate a Semantic Representation for NLP.
AMIA
Jeannie Yuhaniak Irwin, Henk Harkema, Lee M. Christensen, Titus Schleyer, Peter J. Haug, Wendy Webber Chapman
2009 — conf
ONYX: A System for the Semantic Analysis of Clinical Text.
BioNLP@HLT-NAACL
Lee M. Christensen, Henk Harkema, Peter J. Haug, Jeannie Yuhaniak Irwin, Wendy W. Chapman
2008 — conf
Temporal Annotation of Clinical Text.
BioNLP
Danielle L. Mowery, Henk Harkema, Wendy W. Chapman
2006 — conf
: Three Approaches to GO-Tagging Biomedical Abstracts.
SMBM
Neil Davis, Henk Harkema, Robert J. Gaizauskas, Yikun Guo, Moustafa Ghanem, Tom Barnwell, Yike Guo, Jon Ratcliffe
2006 C conf
Task-Oriented Extraction of Temporal Information: The Case of Clinical Narratives.
TIME
Robert J. Gaizauskas, Henk Harkema, Mark Hepple, Andrea Setzer
2005 — conf
The University of Sheffield's TREC 2005 Q&A Experiments.
TREC
Robert J. Gaizauskas, Mark A. Greenwood, Henk Harkema, Mark Hepple, Horacio Saggion, Atheesh Sanka
2004 B conf
A Large-Scale Resource for Storing and Recognizing Technical Terminology.
LREC
Henk Harkema, Robert J. Gaizauskas, Mark Hepple, Neil Davis, Yikun Guo, Angus Roberts, Ian Roberts
2004 — conf
Sheffield University and the TREC 2004 Genomics Track: Query Expansion Using Synonymous Terms.
TREC
Yikun Guo, Henk Harkema, Robert J. Gaizauskas
2001 — conf
A Characterization of Minimalist Languages.
LACL
Henk Harkema
2000 — conf
A Recognizer for Minimalist Grammars.
IWPT
Henk Harkema