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題名 Semantic clustering of morphologically related Chinese words
作者 Lee, C.-L.;Chang, Y.-N.;Liu, Chao Lin;Lee, C.-Y.;Hsu, J.Y.-J.
劉昭麟
貢獻者 資科系
關鍵詞 Semantic clustering
日期 2014-08
上傳時間 16-Jun-2015 15:57:23 (UTC+8)
摘要 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.
關聯 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
資料類型 conference
dc.contributor 資科系
dc.creator (作者) Lee, C.-L.;Chang, Y.-N.;Liu, Chao Lin;Lee, C.-Y.;Hsu, J.Y.-J.
dc.creator (作者) 劉昭麟zh_TW
dc.date (日期) 2014-08
dc.date.accessioned 16-Jun-2015 15:57:23 (UTC+8)-
dc.date.available 16-Jun-2015 15:57:23 (UTC+8)-
dc.date.issued (上傳時間) 16-Jun-2015 15:57:23 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75851-
dc.description.abstract (摘要) 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.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) 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
dc.subject (關鍵詞) Semantic clustering
dc.title (題名) Semantic clustering of morphologically related Chinese words
dc.type (資料類型) conferenceen