DocumentCode :
2506822
Title :
Processing methods for contextual coherence interpretation related to reputation
Author :
Itoh, Miho
Author_Institution :
Dept. of Inf. & Comput. Sci., Keio Univ., Yokohama, Japan
fYear :
2009
fDate :
28-30 Sept. 2009
Firstpage :
348
Lastpage :
353
Abstract :
A system able to interpret coherence of multiple sequential foci, while disambiguating multiple meanings of representations arising in the context, is exposed in this article. In the e.g., [I disliked in my childhood the bitterness of green peppers, it tastes delicious now.], identifying which of ldquodislikerdquo or ldquodeliciousrdquo is the main meaning, evaluation, among these sentences is necessary. Also detecting the antecedent of ldquoitrdquo, an anaphor, is as well indispensable for interpreting accurately the knowledge representation expressed in this contextual sentence. In the following example, having a ldquobig heartrdquo (a tolerant mind), ldquobigrdquo is usually understood as a quality, whereas in the expression ldquobig wordsrdquo, it has rather a pejorative connotation. To resolve such ambiguity, this system achieves an accurate contextual analysis, by identifying compositionally the overall role relations between words. For the determination of the evaluation polarity, in a corpus composed of 2500 customer reviews, the correct answer rate is 75.0%.
Keywords :
knowledge representation; natural language processing; anaphor detection; contextual coherence interpretation; contextual sentence analysis; customer review corpus; evaluation polarity; knowledge representation; multiple meaning disambiguation; multiple sequential foci; natural language processing method; pejorative connotation; Brightness; Computer science; Data mining; Electronic mail; Heart; Internet; Knowledge representation; Mood; Natural languages; Object detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technology, 2009. ISCIT 2009. 9th International Symposium on
Conference_Location :
Icheon
Print_ISBN :
978-1-4244-4521-9
Electronic_ISBN :
978-1-4244-4522-6
Type :
conf
DOI :
10.1109/ISCIT.2009.5341230
Filename :
5341230
Link To Document :
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