Towards Czech Answer Type Analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00101540" target="_blank" >RIV/00216224:14330/18:00101540 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Towards Czech Answer Type Analysis
Original language description
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.
Czech name
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Czech description
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Project
<a href="/en/project/GA18-23891S" target="_blank" >GA18-23891S: Hyperintensional Reasoning over Natural Language Texts</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Twelfth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2018
ISBN
9788026315179
ISSN
2336-4289
e-ISSN
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Number of pages
11
Pages from-to
41-51
Publisher name
Tribun EU
Place of publication
Brno
Event location
Karlova Studánka
Event date
Jan 1, 2018
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000612420300006

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