A new dataset for sentence-level complexity in Russian
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AV8EWMTSK" target="_blank" >RIV/00216208:11320/23:V8EWMTSK - isvavai.cz</a>
Result on the web
<a href="https://www.dialog-21.ru/media/5900/ivanovvpluselbayoumimg086.pdf" target="_blank" >https://www.dialog-21.ru/media/5900/ivanovvpluselbayoumimg086.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.28995/2075-7182-2023-22-181-190" target="_blank" >10.28995/2075-7182-2023-22-181-190</a>
Alternative languages
Result language
angličtina
Original language name
A new dataset for sentence-level complexity in Russian
Original language description
"Text complexity prediction is a well-studied task. Predicting complexity sentence-level has attracted less re-nsearch interest in Russian. One possible application of sentence-level complexity prediction is more precise andnfine-grained modeling of text complexity. In the paper we present a novel dataset with sentence-level annotationnof complexity. The dataset is open and contains 1,200 Russian sentences extracted from SynTagRus treebank.nAnnotations were collected via Yandex Toloka platform using 7-point scale. The paper presents various linguisticnfeatures that can contribute to sentence complexity as well as a baseline linear model."
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
"Proceedings of the International Conference “Dialogue"
ISBN
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ISSN
2075-7182
e-ISSN
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Number of pages
10
Pages from-to
181-190
Publisher name
""
Place of publication
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Event location
Tartu
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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