POPELÍNSKÝ, Lubomír and Jiří MATERNA. Keyness and Relational Learning (Keyness ans Relational Learning). In International conference Keyness in Text. Siena: University of Siena. p. 61-63. 2007.
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Basic information
Original name Keyness and Relational Learning
Name in Czech Keyness a relační učení
Authors POPELÍNSKÝ, Lubomír and Jiří MATERNA.
Edition Siena, International conference Keyness in Text, p. 61-63, 3 pp. 2007.
Publisher University of Siena
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Organization unit Faculty of Informatics
Keywords in English keyness; machine learning; relational learning; inductive logic programming
Tags inductive logic programming, keyness, machine learning, relational learning
Tags International impact, Reviewed
Changed by Changed by: RNDr. Jiří Materna, Ph.D., učo 98897. Changed: 25/11/2011 10:01.
Abstract
We propose a novel way to automatically extracting keyness concept of a document that exploits relational learning that allows to express not only keyness of a keyword but also the relation between keywords. It result in higher dicriminative power in information retrieval or text categorization. Informally, keyness is then a cloud of words and groups of words (clled keywords in the rest of this text), their attributes (morphological, syntactical, hyperon ymic) and relations between them that characterize a given document from the collection.
Abstract (in Czech)
We propose a novel way to automatically extracting keyness concept of a document that exploits relational learning that allows to express not only keyness of a keyword but also the relation between keywords. It result in higher dicriminative power in information retrieval or text categorization. Informally, keyness is then a cloud of words and groups of words (clled keywords in the rest of this text), their attributes (morphological, syntactical, hyperon ymic) and relations between them that characterize a given document from the collection.
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MSM0021622418, plan (intention)Name: DYNAMICKÁ GEOVIZUALIZACE V KRIZOVÉM MANAGEMENTU
Investor: Ministry of Education, Youth and Sports of the CR, Dynamic Geovisualisation in Crises Management
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