TY - GEN
T1 - A Smote-Based News-Specific geographical name extraction and classification algorithm
AU - Zhang, Chen
AU - Shi, Chongyang
PY - 2017
Y1 - 2017
N2 - A geographical name is a conventional language sign, which is not only used for a geographic entity, but also widely applied in the naming of other entities, thus significantly affecting the accuracy of news-specific geographical name extractions. In this paper, the characteristics of the geographical names in the news are analyzed and the geographical names are divided into geographic entity, organizational entity, in addition to other entities. For the unbalance of these three entities in the news, a SMOTE-based random walk algorithm is proposed here to realize the classification and identification of geographical names.
AB - A geographical name is a conventional language sign, which is not only used for a geographic entity, but also widely applied in the naming of other entities, thus significantly affecting the accuracy of news-specific geographical name extractions. In this paper, the characteristics of the geographical names in the news are analyzed and the geographical names are divided into geographic entity, organizational entity, in addition to other entities. For the unbalance of these three entities in the news, a SMOTE-based random walk algorithm is proposed here to realize the classification and identification of geographical names.
KW - Entity extraction
KW - Geographical Name Classification
KW - Geographical name Extraction
KW - SMOTE
UR - http://www.scopus.com/inward/record.url?scp=85030474281&partnerID=8YFLogxK
U2 - 10.2316/P.2017.848-028
DO - 10.2316/P.2017.848-028
M3 - Conference contribution
AN - SCOPUS:85030474281
T3 - Proceedings of the IASTED International Conference on Modelling, Identification and Control
SP - 101
EP - 105
BT - Proceedings of the IASTED International Conference Modelling, Identification and Control, MIC 2017
PB - Acta Press
T2 - 2017 IASTED International Conference on Modelling, Identification and Control, MIC 2017
Y2 - 20 February 2017 through 21 February 2017
ER -