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