DocumentCode :
2120347
Title :
Cognitive-Based Multi-document Summarization Approach
Author :
Jingqiang Chen ; Wei Li
Author_Institution :
Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China
fYear :
2013
fDate :
3-4 Oct. 2013
Firstpage :
214
Lastpage :
217
Abstract :
Automatic text summarization is an important and useful research area in natural language processing and information retrieval. Most of current approaches for text summarization do not make full use of human reading process. This paper proposes a multi-document scanning mechanism by simulating human reading process. The mechanism simulates human memory of words, association between words and three cognitive processes invoked when reading. Changes of human memory of topic words in reading process are used to denote sentences´ significance, based on which sentences are then ordered and extracted to form a summary. Experiments on DUC2007 test data show that our proposing method is efficient and outperforms two baseline methods.
Keywords :
information retrieval; natural language processing; text analysis; automatic text summarization; cognitive-based multidocument summarization approach; human reading process; information retrieval; multidocument scanning mechanism; natural language processing; Artificial intelligence; Computational linguistics; Computational modeling; Equations; Mathematical model; Natural language processing; Semantics; cognitive; human reading process; summarization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics, Knowledge and Grids (SKG), 2013 Ninth International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/SKG.2013.39
Filename :
6816610
Link To Document :
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