Abstract
The techniques developed within the field
of Biomedical Text Mining (BioTM) have
been mainly tested and evaluated over a set
of known corpora built by a few researchers
with a specific goal or to support scientific
competitions. The generalized use of
BioTM software therefore requires that an
enlarged set of corpora is made available
covering a wider range of biomedical research
topics. This work proposes a software
tool that facilitates the task of building
a BioTM corpus by providing a userfriendly
and interoperable tool that allows
both automatic and manual annotation of
biomedical documents (supporting both abstracts
and full text). This tool is also integrated
in a more comprehensive BioTM
framework.
Publication Type: Papers in Conference Proceedings