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...
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...
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...
: 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, ...
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...