DMCA
Characterizing Health-Related Community Question Answering (2013)
| Venue: | In Advances in Information Retrieval |
| Citations: | 2 - 0 self |
BibTeX
@INPROCEEDINGS{Beloborodov13characterizinghealth-related,
author = {Alexander Beloborodov and Artem Kuznetsov and Pavel Braslavski},
title = {Characterizing Health-Related Community Question Answering},
booktitle = {In Advances in Information Retrieval},
year = {2013},
pages = {680--683}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Abstract. Our ongoing project is aimed at improving information access to nar-row-domain collections of questions and answers. This poster demonstrates how out-of-the-box tools and domain dictionaries can be applied to community question answering (CQA) content in health domain. This approach can be used to improve user interfaces and search over CQA data, as well as to evaluate content quality. The study is a first-time use of a sizable dataset from the Rus-sian CQA site Otvety@Mail.Ru.
