DocumentCode :
2300001
Title :
Contextual Analysis Methods Capturing Knowledge Representation Related to the Reputation
Author :
Itoh, Miho
Author_Institution :
Keio Univ., Yokohama, Japan
fYear :
2009
fDate :
19-21 Oct. 2009
Firstpage :
552
Lastpage :
559
Abstract :
The architecture of a system able to interpret multiple knowledge representations throughout context, by capturing coherence of sequential foci arising in contextual sentences, disambiguating lexical meaning and specifying anaphor/cataphora/antecedent, is presented in this paper. The system can detect cohesion of structure of complicated contents, thanks to the construction of four novel sentence patterns1-any Japanese sentence being classifiable into one of theseiquestthat clarify role relations between words related with an absolute expression called CEE within the predicate. For instance, having a ldquobig heartrdquo, a tolerant mind, and the expression "pretty girl", are both usually understood as positives; whereas the expressions ldquobig words" and "pretty boy", or effeminate boy, have rather a pejorative connotation. To resolve such ambiguity, the system achieves an accurate contextual analysis, by identifying role relations between words. Our system evaluated correctly ldquopositiverdquo or ldquonegativerdquo nuance for 75.0 % of those.
Keywords :
classification; computational linguistics; knowledge representation; natural language processing; pattern classification; Japanese sentence pattern; anaphor-cataphora-antecedent specification; contextual analysis method; knowledge representation; lexical meaning; sequential foci coherence; Brightness; Heart; Internet; Knowledge representation; Natural languages; Pattern analysis; interpreting coherence of multiple semantic; overall role relation between words based on CEE; representations in contextual sentences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network and System Security, 2009. NSS '09. Third International Conference on
Conference_Location :
Gold Coast, QLD
Print_ISBN :
978-1-4244-5087-9
Electronic_ISBN :
978-0-7695-3838-9
Type :
conf
DOI :
10.1109/NSS.2009.36
Filename :
5319292
Link To Document :
بازگشت