Korea Institute of Science and Technology

Changwon National University Industry University Cooperation Foundation

Jeong Won Cha

Laehyun Kim

Tae Ho Park

Yo-Sub Han

Hyunchul Cho

Da Sol Park

Chang Uk Shin

Seong Jae Park

Lisa Wiyartanti

A device for detecting a morpheme tagging corpus error, of the present invention, includes: an attribute generating unit for generating attributes for word phrases included in an input corpus, by using a kernel to which a rough set theory is applied; and an attribute statistics processing unit for generating part-of-speech tagging corpus error data through the calculation of attributes and frequency count for the same word phrases by counting attributes for the same word phrase among the word phrases, and thus the present invention can detect, quantify, and modify errors included in a corpus (learning data) required in learning for classifier generation and recognition for natural language processing.

Device for automatically detecting morpheme part of speech tagging corpus error by using rough sets, and method therefor

A method and system for assessing a user reputation and/or a content reliability on contents sharing web sites is provided. In one embodiment, the method includes defining a networked association between users based on social activity information related to the users' social activities on a contents sharing web site, the users' social activities including social activities between the users and/or social activities of the users on the contents sharing web site; obtaining a link relation for at least one of the users based on the networked association; and computing a user reputation for the at least one of the users based on the link relation. The method may further include computing a content reliability of the at least one user-created contents based on the computed user reputation.

Assessment of a user reputation and a content reliability

Growing community of inventors

Changwon-si, South Korea

Jeong Won Cha