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As the 'treatment' annotation is not specific to drugs, it would be interesting to know what other kinds of entities are appearing there. Identify a subset of the treatments with high levels of inter-annotator agreement, manually inspect them to make a statement about what they contain. If there are many, perform an automated analysis using a tool (e.g. Annotator, MetaMap) to map them to high-level semantic groups. This is potentially important particularly because there are not already tools for finding these other kinds of treatments in the literature. It provides a way that the human contributors could generate something unique that machines would miss.
The text was updated successfully, but these errors were encountered:
As the 'treatment' annotation is not specific to drugs, it would be interesting to know what other kinds of entities are appearing there. Identify a subset of the treatments with high levels of inter-annotator agreement, manually inspect them to make a statement about what they contain. If there are many, perform an automated analysis using a tool (e.g. Annotator, MetaMap) to map them to high-level semantic groups. This is potentially important particularly because there are not already tools for finding these other kinds of treatments in the literature. It provides a way that the human contributors could generate something unique that machines would miss.
The text was updated successfully, but these errors were encountered: