Interesting :-) But from a first glance, I am not sure how to evaluate the answers. Should I rate? Write a comment? Are comments only for correcting the answer (and thus not directly useful for your quality statistics)? What if an answer is wrong or a non-answering email from the mailing list thread was used - rate it with 1 star?
Regards, Alex On 08.03.11 21:54, "Stefan Henß" <stefan.he...@googlemail.com> wrote: >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 Jackrabbit FAQs: >http://faqcluster.com/jackrabbit-node-jcr-repository-apache > >(There are some other interesting FAQs as well at http://faqcluster.com/) > > >Thanks for your help > >Stefan > -- Alexander Klimetschek Developer // Adobe (Day) // Berlin - Basel
