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Henk Harkema
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2010 – 2019
- 2018
- [c16]José D. Posada, Lingyun Shi, Sergio M. Castro, Shyam Visweswaran, Neal D. Ryan, Henk Harkema, Rich Tsui:
Social Context Sentence Classification from Psychiatric Reports using Positive and Unlabeled Learning. AMIA 2018 - 2016
- [c15]José D. Posada, Lingyun Shi, Ye Ye, Frank A. Ghinassi, Neal D. Ryan, Henk Harkema, Rich Tsui:
Use of Freetext Clinical Reports for Prediction of 30-Day Psychiatric Readmissions. AMIA 2016 - 2013
- [j4]Jeffrey P. Ferraro, Hal Daumé III, Scott L. DuVall
, Wendy Webber Chapman, Henk Harkema, Peter J. Haug:
Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation. J. Am. Medical Informatics Assoc. 20(5): 931-939 (2013) - [c14]Danielle L. Mowery, Pamela W. Jordan, Janyce Wiebe, Henk Harkema, Wendy W. Chapman:
Semantic Annotation of Clinical Events for Generating a Problem List. AMIA 2013 - 2012
- [j3]Danielle L. Mowery
Building an automated SOAP classifier for emergency department reports. J. Biomed. Informatics 45(1): 71-81 (2012) - [c13]Richard D. Boyce, Gregory Gardner, Henk Harkema:
Using Natural Language Processing to Extract Drug-Drug Interaction Information from Package Inserts. BioNLP@HLT-NAACL 2012: 206-213 - 2011
- [j2]Henk Harkema, Wendy Webber Chapman
Developing a natural language processing application for measuring the quality of colonoscopy procedures. J. Am. Medical Informatics Assoc. 18(Supplement): 150-156 (2011) - 2010
- [c12]Richard D. Boyce, Henk Harkema, Mike Conway:
Leveraging the semantic web and natural language processing to enhance drug-mechanism knowledge in drug product labels. IHI 2010: 492-496
2000 – 2009
- 2009
- [j1]Henk Harkema, John N. Dowling, Tyler Thornblade, Wendy Webber Chapman
ConText: An algorithm for determining negation, experiencer, and temporal status from clinical reports. J. Biomed. Informatics 42(5): 839-851 (2009) - [c11]Jeannie Yuhaniak Irwin, Henk Harkema, Lee M. Christensen, Titus Schleyer, Peter J. Haug, Wendy Webber Chapman:
Methodology to Develop and Evaluate a Semantic Representation for NLP. AMIA 2009 - [c10]Danielle L. Mowery, Henk Harkema, John N. Dowling, Jonathan L. Lustgarten, Wendy W. Chapman:
Distinguishing Historical from Current Problems in Clinical Reports - Which Textual Features Help? BioNLP@HLT-NAACL 2009: 10-18 - [c9]Lee M. Christensen, Henk Harkema, Peter J. Haug, Jeannie Yuhaniak Irwin, Wendy W. Chapman:
ONYX: A System for the Semantic Analysis of Clinical Text. BioNLP@HLT-NAACL 2009: 19-27 - 2008
- [c8]Danielle L. Mowery, Henk Harkema, Wendy W. Chapman:
Temporal Annotation of Clinical Text. BioNLP 2008: 106-107 - 2006
- [c7]Neil Davis, Henk Harkema, Robert J. Gaizauskas, Yikun Guo, Moustafa Ghanem, Tom Barnwell, Yike Guo, Jon Ratcliffe:
: Three Approaches to GO-Tagging Biomedical Abstracts. SMBM 2006 - [c6]Robert J. Gaizauskas
Task-Oriented Extraction of Temporal Information: The Case of Clinical Narratives. TIME 2006: 188-195 - 2005
- [c5]Robert J. Gaizauskas, Mark A. Greenwood, Henk Harkema, Mark Hepple, Horacio Saggion, Atheesh Sanka:
The University of Sheffield's TREC 2005 Q&A Experiments. TREC 2005 - 2004
- [c4]Henk Harkema, Robert J. Gaizauskas, Mark Hepple, Neil Davis, Yikun Guo, Angus Roberts, Ian Roberts:
A Large-Scale Resource for Storing and Recognizing Technical Terminology. LREC 2004 - [c3]Yikun Guo, Henk Harkema, Robert J. Gaizauskas:
Sheffield University and the TREC 2004 Genomics Track: Query Expansion Using Synonymous Terms. TREC 2004 - 2001
- [c2]Henk Harkema:
A Characterization of Minimalist Languages. LACL 2001: 193-211 - 2000
- [c1]Henk Harkema:
A Recognizer for Minimalist Grammars. IWPT 2000: 111-122
Coauthor Index
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