DocumentCode :
3168179
Title :
Natural language processing
Author :
Gelbukh, A.
Author_Institution :
National Polytech. Inst., Mexico
fYear :
2005
fDate :
6-9 Nov. 2005
Abstract :
Summary form only given. Natural language processing (NLP) is a major area of artificial intelligence research, which in its turn serves as a field of application and interaction of a number of other traditional AI areas. Until recently, the focus in AI applications in NLP was on knowledge representation, logical reasoning, and constraint satisfaction - first applied to semantics and later to the grammar. In the last decade, a dramatic shift in the NLP research has led to the prevalence of very large scale applications of statistical methods, such as machine learning and data mining. Naturally, this also opened the way to the learning and optimization methods that constitute the core of modern AI, most notably genetic algorithms and neural networks. In this paper we give an overview of the current trends in NLP and discuss the possible applications of traditional AI techniques and their combination in this fascinating area.
Keywords :
artificial intelligence; natural languages; artificial intelligence research; constraint satisfaction; knowledge representation; logical reasoning; natural language processing; Artificial intelligence; Data mining; Genetic algorithms; Knowledge representation; Large-scale systems; Machine learning; Natural language processing; Neural networks; Optimization methods; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems, 2005. HIS '05. Fifth International Conference on
Conference_Location :
Rio de Janeiro, Brazil
Print_ISBN :
0-7695-2457-5
Type :
conf
DOI :
10.1109/ICHIS.2005.79
Filename :
1587718
Link To Document :
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