Henk Harkema


Using Natural Language Processing to Extract Drug-Drug Interaction Information from Package Inserts
Richard Boyce | Gregory Gardner | Henk Harkema
BioNLP: Proceedings of the 2012 Workshop on Biomedical Natural Language Processing


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Distinguishing Historical from Current Problems in Clinical Reports – Which Textual Features Help?
Danielle Mowery | Henk Harkema | John Dowling | Jonathan Lustgarten | Wendy Chapman
Proceedings of the BioNLP 2009 Workshop

ONYX: A System for the Semantic Analysis of Clinical Text
Lee Christensen | Henk Harkema | Peter Haug | Jeannie Irwin | Wendy Chapman
Proceedings of the BioNLP 2009 Workshop


Temporal Annotation of Clinical Text
Danielle Mowery | Henk Harkema | Wendy Chapman
Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing


A Large-Scale Resource for Storing and Recognizing Technical Terminology
Henk Harkema | Robert Gaizauskas | Mark Hepple | Neil Davis | Yikun Guo | Angus Roberts | Ian Roberts
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

A Large Scale Terminology Resource for Biomedical Text Processing
Henk Harkema | Robert Gaizauskas | Mark Hepple | Angus Roberts | Ian Roberts | Neil Davis | Yikun Guo
HLT-NAACL 2004 Workshop: Linking Biological Literature, Ontologies and Databases


A Recognizer for Minimalist Grammars
Henk Harkema
Proceedings of the Sixth International Workshop on Parsing Technologies

Minimalist Grammars are a rigorous formalization of the sort of grammars proposed in the linguistic framework of Chomsky’s Minimalist Program. One notable property of Minimalist Grammars is that they allow constituents to move during the derivation of a sentence, thus creating discontinuous constituents. In this paper we will present a bottom-up parsing method for Minimalist Grammars, prove its correctness, and discuss its complexity.