Concept information
Preferred term
MUSE
Broader concept
Definitional context(s)
- MUSE is an information extraction system developed within GATE which aims to perform named entity recognition on different types of text (Maynard et al 2002). (Manov, Kiryakov, Popov, Bontcheva, Maynard & Cunningham, 2003)
Example
- MUSE extends these methods to the unsupervised case by constructing a synthetic dictionary. (Schuster, Ram, Barzilay & Globerson, 2019)
- MUSE uses flat-list gazetteers which primarily contain contextual clues that help with the identification of named entities e.g. company designators (such as Ltd GmbH) job titles person titles (such as Mr Mrs) common first names typical organisation types (e.g. Ministry University). (Manov, Kiryakov, Popov, Bontcheva, Maynard & Cunningham, 2003)
In other languages
-
French
URI
http://data.loterre.fr/ark:/67375/8LP-T7BG4TK9-6
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