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@inproceedings{1484738,
author = {Kušniráková, Daša and Medveď, Marek},
address = {Brno},
booktitle = {Proceedings of the Twelfth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2018},
editor = {Aleš Horák, Pavel Rychlý and Adam Rambousek},
keywords = {question answering; question classification; answer classifica-tion; Czech; Simple Question Answering Database; SQAD},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno},
isbn = {978-80-263-1517-9},
pages = {41-51},
publisher = {Tribun EU},
title = {Towards Czech Answer Type Analysis},
url = {https://nlp.fi.muni.cz/raslan/2018/paper13-Kusnirakova_Medved.pdf},
year = {2018}
}
TY - JOUR
ID - 1484738
AU - Kušniráková, Daša - Medveď, Marek
PY - 2018
TI - Towards Czech Answer Type Analysis
PB - Tribun EU
CY - Brno
SN - 9788026315179
KW - question answering
KW - question classification
KW - answer classifica-tion
KW - Czech
KW - Simple Question Answering Database
KW - SQAD
UR - https://nlp.fi.muni.cz/raslan/2018/paper13-Kusnirakova_Medved.pdf
N2 - In this paper, we introduce two answer type detection systems for Czech language. Based on the input question, the goal of these tools is to recognise the question type and extract an appropriate answer type. Except for the same goal, these systems are completely different. The first one is a rule based system utilising Czech Wordnet for hypernym detection. The second one uses a machine learning approach in form of a neural network. We present architectures of these two systems and offer a detailed evaluation on more than 8,500 question-answer pairs using the SQAD v2.1 benchmark dataset.
ER -
KUŠNIRÁKOVÁ, Daša a Marek MEDVEĎ. Towards Czech Answer Type Analysis. In Aleš Horák, Pavel Rychlý and Adam Rambousek. \textit{Proceedings of the Twelfth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2018}. Brno: Tribun EU, 2018, s.~41-51. ISBN~978-80-263-1517-9.
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