Detailed Information on Publication Record
2021
Evaluating Long Contexts in the Czech Answer Selection Task
MEDVEĎ, Marek, Radoslav SABOL and Aleš HORÁKBasic information
Original name
Evaluating Long Contexts in the Czech Answer Selection Task
Authors
MEDVEĎ, Marek (703 Slovakia, guarantor, belonging to the institution), Radoslav SABOL (703 Slovakia, belonging to the institution) and Aleš HORÁK (203 Czech Republic, belonging to the institution)
Edition
Brno, Recent Advances in Slavonic Natural Language Processing (RASLAN 2021), p. 61-69, 9 pp. 2021
Publisher
Tribun EU
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10200 1.2 Computer and information sciences
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
RIV identification code
RIV/00216224:14330/21:00123247
Organization unit
Faculty of Informatics
ISBN
978-80-263-1670-1
ISSN
Keywords in English
Question answering; Answer selection; Answer context; Evaluation
Změněno: 15/5/2024 10:10, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
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.
Links
| LM2018101, research and development project |
| ||
| MUNI/A/1573/2020, interní kód MU |
|