Keyness and Relational Learning
| Název česky | Keyness a relační učení |
|---|---|
| Autoři | |
| Rok publikování | 2007 |
| Druh | Článek ve sborníku |
| Konference | International conference Keyness in Text |
| Fakulta / Pracoviště MU | |
| Citace | |
| Obor | Informatika |
| Klíčová slova | keyness; machine learning; relational learning; inductive logic programming |
| Popis | 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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