Hello everyone,
a few weeks ago I had introduced some research we are currently doing.
It’s about considering a large corpus of mailing lists, clustering the
threads using LDA and using the models to select the most relevant Q/A’s
from each cluster to form topic-focused FAQs.
We’ve now created a tool for reviewing the generated FAQs. Within
approx. 10 minutes, you can select and reformulate good question/answer
pairs found by our system. Eventually, you will be able to download the
FAQ in HTML or XML. We will also use your selected questions to further
evaluate and improve our system.
You can review the FAQ generated from the cluster mainly relating to
Mahout at http://faqcluster.com/review/1. The selections remain past the
session, so the mailing list can cooperate on the review.
We are eagerly looking forward receiving your feedback on the review
process and system.
Yours sincerely,
Stefan and Martin
University of Darmstadt, Germany
Am 23.02.2011 06:15, schrieb Stefan Henß:
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).
- Build 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 conversation) find the best
reply from its answers.
- Select the most relevant and well formatted question/answer-pairs
for each FAQ.
Most of the steps almost completely rely on the data from the
categorization step which is obtained using the latent Dirichlet
allocation model.
For the evaluation part I'd like to ask you for having a look at one
or two FAQs and maybe give some comments on how far the questions
matched the FAQ's title, how relevant they were etc.
Here's the direct link to the Mahout FAQs:
http://faqcluster.com/mahout-data
(There are some other interesting FAQs as well at http://faqcluster.com/)
Thanks for your help
Stefan
