КФУ. Карточка публикации. Extracting Composite Summaries from Qualitative Data

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EXTRACTING COMPOSITE SUMMARIES FROM QUALITATIVE DATA

Форма представления

Тезисы и материалы конференций в зарубежных журналах и сборниках

Год публикации

2021

Авторы, сотрудники КФУ

Зуев Денис Сергеевич, автор

Другие авторы

Авторы, аспиранты КФУ

Родригес Родригес Карлос Рафаэль , автор

Библиографическое описание на языке оригинала

Rodríguez C.R.R., Abreu M.P., Zuev D.S. (2021) Extracting Composite Summaries from Qualitative Data. In: Hernández Heredia Y., Milián Núñez V., Ruiz Shulcloper J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2021. Lecture Notes in Computer Science, vol 13055. Springer, Cham. https://doi.org/10.1007/978-3-030-89691-1_26

Аннотация

The paper proposes a model combining association rules and elements of Rhetorical Structure Theory (RST) to generate composite linguistic summaries from qualitative data. The specifications of three new abstract forms of composite linguistic summaries for qualitative data are presented. The proposed abstract forms represent relations of Evidence, Contrast, and Emphasis inspired by RST, consisting of at least two semantically related constituent statements linked by a connector specific to each relation. The constituent statements have the structure of the classical protoforms of linguistic summaries, which in this paper are built from an association rule, to which a fuzzy linguistic quantifier is assigned. Moreover, the definitions of truth degree, relation strength, and coverage degree for composite relations are presented. The model applicability was checked through a use case performed with a database of 2128 cases of the Economic Chamber of the Provincial People?s Court of Havana.

Ключевые слова

Association rules, Linguistic descriptions of data, Linguistic data summarization, Rhetorical structure theory

Место издания

Cham

Издательство

Springer

URL

https://doi.org/10.1007/978-3-030-89691-1_26

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https://repository.kpfu.ru/?p_id=260493

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Зуев Денис Сергеевич	ru_RU
dc.contributor.author	Родригес Родригес Карлос Рафаэль	ru_RU
dc.date.accessioned	2021-01-01T00:00:00Z	ru_RU
dc.date.available	2021-01-01T00:00:00Z	ru_RU
dc.date.issued	2021	ru_RU
dc.identifier.citation	Rodríguez C.R.R., Abreu M.P., Zuev D.S. (2021) Extracting Composite Summaries from Qualitative Data. In: Hernández Heredia Y., Milián Núñez V., Ruiz Shulcloper J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2021. Lecture Notes in Computer Science, vol 13055. Springer, Cham. https://doi.org/10.1007/978-3-030-89691-1_26	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=260493	ru_RU
dc.description.abstract	The paper proposes a model combining association rules and elements of Rhetorical Structure Theory (RST) to generate composite linguistic summaries from qualitative data. The specifications of three new abstract forms of composite linguistic summaries for qualitative data are presented. The proposed abstract forms represent relations of Evidence, Contrast, and Emphasis inspired by RST, consisting of at least two semantically related constituent statements linked by a connector specific to each relation. The constituent statements have the structure of the classical protoforms of linguistic summaries, which in this paper are built from an association rule, to which a fuzzy linguistic quantifier is assigned. Moreover, the definitions of truth degree, relation strength, and coverage degree for composite relations are presented. The model applicability was checked through a use case performed with a database of 2128 cases of the Economic Chamber of the Provincial People?s Court of Havana.	ru_RU
dc.language.iso	ru	ru_RU
dc.publisher	Springer	ru_RU
dc.subject	Association rules	ru_RU
dc.subject	Linguistic descriptions of data	ru_RU
dc.subject	Linguistic data summarization	ru_RU
dc.subject	Rhetorical structure theory	ru_RU
dc.title	Extracting Composite Summaries from Qualitative Data	ru_RU
dc.type	Тезисы и материалы конференций в зарубежных журналах и сборниках	ru_RU