DocumentCode :
3221979
Title :
A semantic processing model for sentence understanding based on cognitive learning
Author :
Guo, Yi ; Li, Yan ; Shao, Zhiqing
Author_Institution :
Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
fYear :
2011
fDate :
27-29 May 2011
Firstpage :
106
Lastpage :
110
Abstract :
Sentence has a very prominent position in the research field of Natural Language Understanding. The task of sentence understanding includes two stages, sentence parsing and semantic processing. Sentence parsing resides in the fundamental level, while semantic understanding involves lexcial and higher discourse analysis. As sentence understanding has compact connections with human cognition, this paper will introduce how cognitive models are integrated, with machine learning algorithms (or models), into the procedures of sentence parsing and semantic processing.
Keywords :
cognitive systems; grammars; learning (artificial intelligence); natural language processing; text analysis; cognitive learning; cognitive model; higher discourse analysis; human cognition; lexical analysis; machine learning algorithm; natural language understanding; semantic processing model; sentence parsing; sentence understanding; Educational institutions; Indexes; Mechanical factors; Predictive models; Semantics; Cognitive learning; Semantic processing; Sentence understanding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
Type :
conf
DOI :
10.1109/ICCSN.2011.6013787
Filename :
6013787
Link To Document :
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