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https://ah.lib.nccu.edu.tw/handle/140.119/133012
題名: | Leveraging morpho-semantics for the discovery of relations in Chinese wordnet | 作者: | 張瑜芸 Chang, Yu-Yun Hsieh, Shu-Kai |
貢獻者: | 語言所 | 日期: | 一月-2014 | 上傳時間: | 17-十二月-2020 | 摘要: | Semantic relations of different types have played an important role in wordnet, and have been widely recognized in various fields. In recent years, with the growing interests of constructing semantic network in support of intelligent systems, automatic semantic relation discovery has become an urgent task. This paper aims to extract semantic relations relying on the in situ morpho-semantic structure in Chinese which can dispense of an outside source such as corpus or web data. Manual evaluation of thousands of word pairs shows that most relations can be successful predicted. We believe that it can serve as a valuable starting point in complementing with other approaches, which will hold promise for the robust lexical relations acquisition. | 關聯: | Proceedings of the Seventh Global Wordnet Conference, University of Tartu Press, pp.283-289 | 資料類型: | conference |
Appears in Collections: | 會議論文 |
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