Publication details

Keyness and Relational Learning

Title in English Keyness ans Relational Learning


Year of publication 2007
Type Article in Proceedings
Conference International conference Keyness in Text
MU Faculty or unit

Faculty of Informatics

Field Informatics
Keywords keyness; machine learning; relational learning; inductive logic programming
Description 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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