Other formats:
BibTeX
LaTeX
RIS
@inproceedings{1353405,
author = {Medveď, Marek and Horák, Aleš},
address = {Switzerland},
booktitle = {Text, Speech, and Dialogue 19th International Conference, TSD 2016 Brno, Czech Republic, September 12–16, 2016 Proceedings},
doi = {http://dx.doi.org/10.1007/978-3-319-45510-5_31},
editor = {Sojka Petr, Horák Aleš, Kopeček Ivan, Pala Karel},
keywords = {Question Answering; AQA; Simple Question Answering Database; SQAD; Named entity recognition},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Switzerland},
isbn = {978-3-319-45510-5},
pages = {270-278},
publisher = {Springer International Publishing},
title = {AQA: Automatic Question Answering System for Czech},
url = {http://dx.doi.org/10.1007/978-3-319-45510-5_31},
year = {2016}
}
TY - JOUR
ID - 1353405
AU - Medveď, Marek - Horák, Aleš
PY - 2016
TI - AQA: Automatic Question Answering System for Czech
PB - Springer International Publishing
CY - Switzerland
SN - 9783319455105
KW - Question Answering
KW - AQA
KW - Simple Question Answering Database
KW - SQAD
KW - Named entity recognition
UR - http://dx.doi.org/10.1007/978-3-319-45510-5_31
L2 - http://dx.doi.org/10.1007/978-3-319-45510-5_31
N2 - Question answering (QA) systems have become popular nowadays, however, a majority of them concentrates on the English language and most of them are oriented to a specific limited problem domain. In this paper, we present a new question answering system called AQA (Automatic Question Answering). AQA is an open-domain QA system which allows users to ask all common questions related to a selected text collection. The first version of the AQA system is developed and tested for the Czech language, but we also plan to include more languages in future versions. The AQA strategy consists of three main parts: question processing,answer selection and answer extraction. All modules are syntax-based with advanced scoring obtained by a combination of TF-IDF, tree distance between the question and candidate answers and other selected criteria. The answer extraction module utilizes named entity recognizer which allows the system to catch entities that are most likely to answer the question. Evaluation of the AQA system is performed on a previously published Simple Question-Answering Database, or SQAD, with more than 3,000 question-answer pairs.
ER -
MEDVEĎ, Marek and Aleš HORÁK. AQA: Automatic Question Answering System for Czech. In Sojka Petr, Horák Aleš, Kopeček Ivan, Pala Karel. \textit{Text, Speech, and Dialogue 19th International Conference, TSD 2016 Brno, Czech Republic, September 12–16, 2016 Proceedings}. Switzerland: Springer International Publishing, 2016, p.~270-278. ISBN~978-3-319-45510-5. Available from: https://dx.doi.org/10.1007/978-3-319-45510-5\_{}31.
|
