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» Annotating and Recognising Named Entities in Clinical Notes
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LREC
2010
233views Education» more  LREC 2010»
13 years 6 months ago
The ConceptMapper Approach to Named Entity Recognition
ConceptMapper is an open source tool we created for classifying mentions in an unstructured text document based on concept terminologies and yielding named entities as output. It ...
Michael A. Tanenblatt, Anni Coden, Igor L. Sominsk...
COLING
2010
12 years 11 months ago
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine
Due to the lack of annotated data sets, there are few studies on machine learning based approaches to extract named entities (NEs) in clinical text. The 2009 i2b2 NLP challenge is...
Son Doan, Hua Xu
JAMIA
2010
116views more  JAMIA 2010»
12 years 11 months ago
Extracting Rx information from clinical narrative
Objective The authors used the i2b2 Medication Extraction Challenge to evaluate their entity extraction methods, contribute to the generation of a publicly available collection of...
James G. Mork, Olivier Bodenreider, Dina Demner-Fu...
CORR
2006
Springer
178views Education» more  CORR 2006»
13 years 4 months ago
A tool set for the quick and efficient exploration of large document collections
: We are presenting a set of multilingual text analysis tools that can help analysts in any field to explore large document collections quickly in order to determine whether the do...
Camelia Ignat, Bruno Pouliquen, Ralf Steinberger, ...
INLG
2010
Springer
13 years 2 months ago
Finding Common Ground: Towards a Surface Realisation Shared Task
In many areas of NLP reuse of utility tools such as parsers and POS taggers is now common, but this is still rare in NLG. The subfield of surface realisation has perhaps come clos...
Anja Belz, Mike White, Josef van Genabith, Deirdre...