Title :
Using Grammatical Inference For Structure Induction
Author :
Saidi, Alexandre S.
Author_Institution :
Dept. of Math. & Comput. Sci., Ecole Centrale de Lyon, Ecully
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;
Conference_Titel :
Computing, 2006. CIC '06. 15th International Conference on
Conference_Location :
Mexico City
Print_ISBN :
0-7695-2708-6
DOI :
10.1109/CIC.2006.71