Hi everybody,
I'm currently doing research for my bachelor thesis on how to
automatically extract FAQs from unstructured data.
For this I've built a system automatically performing the following:
- Load thousands of conversations from forums and mailing lists (don't
mind the categories there, don't discriminate between sources).
- Build new categorization solely based on the conversation's texts (by
clustering).
- Pick the best modelled categories as basis for one FAQ each.
- For each question (first entry in a thread) find the best reply from
its answers.
- Select the most relevant and well formatted question/answer-pairs for
each FAQ.
For the evaluation I'm interested in expert's perceptions of the
results, e.g. if the questions are relevant, correctly answered, etc.
Also as I'll release a paper about the approach I'd be happy if you
could rate one or two questions (stars on the details pages) so I'd have
some statistics to present.
Here's the direct link to the Tomcat FAQs:
http://faqcluster.com/tomcat-apache-server
(There are some other interesting FAQs as well at http://faqcluster.com/)
Thanks for your help
Stefan
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