DocumentCode
2832636
Title
Using Grammatical Inference For Structure Induction
Author
Saidi, Alexandre S.
Author_Institution
Dept. of Math. & Comput. Sci., Ecole Centrale de Lyon, Ecully
fYear
2006
fDate
Nov. 2006
Firstpage
92
Lastpage
104
Abstract
Given the huge quantity of the current available textual information, text mining process tackles the task of searching useful knowledge in a natural language document. When dealing with a free-format textual corpus (e.g. a job announcement) where the linguistic rules are not respected, the time consuming morpho-syntactic analysis is not of a great help. However, text mining techniques process may exploit linguistic sub-structures in the text. In this paper, we present an applications of grammatical inference (GI) in a machine learning system applied to a text corpus. We specify and use the process of the grammatical inference as an instance of the constraint satisfaction problem that instantiates automata in a (language inclusion) lattice
Keywords
data mining; grammars; inference mechanisms; information retrieval; learning (artificial intelligence); text analysis; constraint satisfaction problem; grammatical inference; language inclusion lattice; machine learning; structure induction; text mining; Computer science; Data mining; Databases; IEEE news; Lattices; Mathematics; Natural languages; Production; Seminars; Text mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, 2006. CIC '06. 15th International Conference on
Conference_Location
Mexico City
Print_ISBN
0-7695-2708-6
Type
conf
DOI
10.1109/CIC.2006.71
Filename
4023794
Link To Document