Title :
Probabilistic models for terminology extraction and knowledge structuring from documents
Author :
Gaussier, Eric ; Cancedda, Nicola
Author_Institution :
Xerox Res. Centre Eur., Meylan, France
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;
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-7087-2
DOI :
10.1109/ICSMC.2001.973039
