Title :
A story understander using rhetorical structures
Author :
Mazumdar, C. ; Lahiri, Sarmistha
Author_Institution :
Dept. of Comput. Sci., Jadavpur Univ., Calcutta, India
Abstract :
Story, a form of coherent text, is hard to analyze and understand for the computer because of the intricate interaction among the sentences and its strong cognitive nature. A novel method is presented for understanding stories using psychological and narratological reflections on memory models and prose analysis. Based on the methodology an implemented story understanding program is also described. The program has been tested using a number of fables
Keywords :
computational linguistics; natural languages; C language; cognitive nature; coherent text; linguistics, NLP; memory models; prose analysis; rhetorical structures; story understander; Knowledge engineering; Natural languages; Predictive models; Psychology; Samarium; Turning;
Conference_Titel :
TENCON '89. Fourth IEEE Region 10 International Conference
Conference_Location :
Bombay
DOI :
10.1109/TENCON.1989.176893
