DocumentCode
2041288
Title
Probabilistic models for terminology extraction and knowledge structuring from documents
Author
Gaussier, Eric ; Cancedda, Nicola
Author_Institution
Xerox Res. Centre Eur., Meylan, France
Volume
2
fYear
2001
fDate
2001
Firstpage
945
Abstract
This paper outlines several problems inherent to knowledge extraction and structuring from textual data, and proposes different probabilistic models for solving them. These models are evaluated on different tasks, and several applications are envisaged
Keywords
data mining; nomenclature; pattern clustering; probability; text analysis; clustering; computational terminology extraction; documents; knowledge extraction; knowledge structuring; probabilistic models; textual data; Artificial satellites; Computational modeling; Data mining; Documentation; Europe; Gaussian processes; Indexing; Natural languages; Ontologies; Terminology;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location
Tucson, AZ
ISSN
1062-922X
Print_ISBN
0-7803-7087-2
Type
conf
DOI
10.1109/ICSMC.2001.973039
Filename
973039
Link To Document