TY - GEN
T1 - Semantic clustering of morphologically related Chinese words
AU - Lee, Chia Ling
AU - Chang, Ya Ning
AU - Liu, Chao Lin
AU - Lee, Chia Ying
AU - Hsu, Jane Yung Jen
N1 - Publisher Copyright:
Copyright © 2014, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2014
Y1 - 2014
N2 - A Chinese character embedded in different compound words may carry different meanings. In this paper, we aim at semantic clustering of a given family of morphologically related Chinese words. In Experiment I, we employed linguistic features at the word, syntactic, semantic, and contextual levels in aggregated computational linguistics methods to handle the clustering task. In Experiment 2, we recruited adults and children to perform the clustering task. Experimental results indicate that our computational model achieved a similar level of performance as children.
AB - A Chinese character embedded in different compound words may carry different meanings. In this paper, we aim at semantic clustering of a given family of morphologically related Chinese words. In Experiment I, we employed linguistic features at the word, syntactic, semantic, and contextual levels in aggregated computational linguistics methods to handle the clustering task. In Experiment 2, we recruited adults and children to perform the clustering task. Experimental results indicate that our computational model achieved a similar level of performance as children.
UR - https://www.scopus.com/pages/publications/84908191696
UR - https://www.scopus.com/pages/publications/84908191696#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:84908191696
T3 - Proceedings of the National Conference on Artificial Intelligence
SP - 3116
EP - 3117
BT - Proceedings of the National Conference on Artificial Intelligence
PB - AI Access Foundation
T2 - 28th AAAI Conference on Artificial Intelligence, AAAI 2014, 26th Innovative Applications of Artificial Intelligence Conference, IAAI 2014 and the 5th Symposium on Educational Advances in Artificial Intelligence, EAAI 2014
Y2 - 27 July 2014 through 31 July 2014
ER -