Form of presentation | Articles in international journals and collections |
Year of publication | 2020 |
Язык | английский |
|
Solnyshkina Marina Ivanovna, author
|
Bibliographic description in the original language |
Ivanov V, Solnyshkina M., A method for assessment of text complexity based on knowledge graphs//CEUR Workshop Proceedings. - 2020. - Vol.2852, Is.. - . |
Annotation |
The study explores the problem of assessing text complexity. In this paper we focus on measuring conceptual complexity and propose using knowledge graphs to this end. On the first stage of the research,
RuThes-Lite thesaurus, a linguistic knowledge base with a total size of over 100,000 text entries (words
and collocations), was used to elicit concepts in the texts of schoolbooks and represent text fragments
as graphs. |
Keywords |
KNOWLEDGE GRAPHS, TEXT COMPLEXITY, THESAURUS |
The name of the journal |
CEUR Workshop Proceedings
|
URL |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105003287&partnerID=40&md5=c02abc5d81e98943e3c6b7caaaca1928 |
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=258202&p_lang=2 |
Full metadata record ![](https://shelly.kpfu.ru/pdf/picture/arrow_black_right.gif) |
Field DC |
Value |
Language |
dc.contributor.author |
Solnyshkina Marina Ivanovna |
ru_RU |
dc.date.accessioned |
2020-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2020-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2020 |
ru_RU |
dc.identifier.citation |
Ivanov V, Solnyshkina M., A method for assessment of text complexity based on knowledge graphs//CEUR Workshop Proceedings. - 2020. - Vol.2852, Is.. - . |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=258202&p_lang=2 |
ru_RU |
dc.description.abstract |
CEUR Workshop Proceedings |
ru_RU |
dc.description.abstract |
The study explores the problem of assessing text complexity. In this paper we focus on measuring conceptual complexity and propose using knowledge graphs to this end. On the first stage of the research,
RuThes-Lite thesaurus, a linguistic knowledge base with a total size of over 100,000 text entries (words
and collocations), was used to elicit concepts in the texts of schoolbooks and represent text fragments
as graphs. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
KNOWLEDGE GRAPHS |
ru_RU |
dc.subject |
TEXT COMPLEXITY |
ru_RU |
dc.subject |
THESAURUS |
ru_RU |
dc.title |
A method for assessment of text complexity based on knowledge graphs |
ru_RU |
dc.type |
Articles in international journals and collections |
ru_RU |
|