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Mining situations and actions from news

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POPELÍNSKÝ Lubomír BLAŤÁK Jan

Rok publikování 2006
Druh Článek ve sborníku
Konference Znalosti 2006
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Obor Informatika
Klíčová slova text filtering; information extraction; term extraction
Popis The definite goal of this project is building tools for automatic filtering news reports on flood, for extracting information from such reports and the use of this extracted information for finding important terms (single words, name/verb phrases, named entities etc.) and eventually building a domain ontology. In this paper we focus on classifying sentences that describe either a situation or an action by means of machine learning. The results of various learning algorithms are discussed. We also bring first results on term extraction.
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