I've used a clustering techniques to discover, in an unsupervised way,
relations between medical entities contained in a large collection of
anonymized medical records, in a reserch project of University of Neaples.
The data set is composed by a large set of features - all the results will
be shortly published on a journal.
The next step in the development of our system is performing an
unsupervised cluster (relation) labeling. To do that, I think to try the
clusterlabeling module from Senseclusters. For creating the input to
clusterlabeling I have to use format_clusters module with --context option
and now I have some problems.
I have already produced a cluto-style cluster solution file (no problem for
that) from my system.
The rlabel file, if I'm right, is a file containing the explicit
corresponding name of each entity in the cluster (in my case the relation).
Is that right?
And now the problems about the context file...
It should be in senseval2 format. My experimental assesment is made of a
plain text files - so I should use plain text to headless senseval2 utility.
I have some questions.
1) Does the context file have to put together all my input files (the
medical records) in one large file (and each context must correspond to a
medical record)?
2) Does the contexts be headless, or I have to tag (<head></head>) all the
entities (medical names) in input?
3) Are other costrains in the context files (formatting, tags, or other)?
In case of success of the experiments, of course, I'll credit and cite the
Senseclusters project.
PS - my system works on italian language.
Thanks for response,
Stefano Silvestri,
NLP researcher at University of Neaples "Federico II"
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