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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75851


    Title: Semantic clustering of morphologically related Chinese words
    Authors: Lee, C.-L.;Chang, Y.-N.;Liu, Chao Lin;Lee, C.-Y.;Hsu, J.Y.-J.
    劉昭麟
    Contributors: 資科系
    Keywords: Semantic clustering
    Date: 2014-08
    Issue Date: 2015-06-16 15:57:23 (UTC+8)
    Abstract: 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.
    Relation: Proceedings of the National Conference on Artificial Intelligence, Volume 4, 2014, Pages 3116-3117, 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; Quebec City; Canada; 27 July 2014 到 31 July 2014; 代碼 108517
    Data Type: conference
    Appears in Collections:[Department of Computer Science ] Proceedings

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