Evaluating Long Contexts in the Czech Answer Selection Task

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F21%3A00123247" target="_blank" >RIV/00216224:14330/21:00123247 - isvavai.cz</a>
Result on the web
<a href="https://raslan2021.nlp-consulting.net/" target="_blank" >https://raslan2021.nlp-consulting.net/</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Evaluating Long Contexts in the Czech Answer Selection Task
Original language description
In the search for the answer to an open-domain question, the size of the search window, or the answer context, can greatly influence the resulting determination of the answer. The presented paper offers a detailed evaluation of different sizes of the answer context in case of Czech question answering. We compare six different context types in four different lengths. The conclusion of the experiments is that prolonging the context can improve the precision for specific types but in general the best results are obtained with one-sentence contexts.
Czech name
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Czech description
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Project
<a href="/en/project/LM2018101" target="_blank" >LM2018101: Digital Research Infrastructure for the Language Technologies, Arts and Humanities</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Recent Advances in Slavonic Natural Language Processing (RASLAN 2021)
ISBN
9788026316701
ISSN
2336-4289
e-ISSN
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Number of pages
9
Pages from-to
61-69
Publisher name
Tribun EU
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2021
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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