篇名 | Automatic Sense Derivation for Determinative-Measure Compounds under the Framework of E-HowNet |
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卷期 | 14:1 |
作者 | Tai, Chia-hung 、 Fan, Jia-zen 、 Huang, Shu-ling 、 Chen, Keh-jiann |
頁次 | 019-044 |
關鍵字 | Semantic Composition 、 Determinative-Measure Compounds 、 Sense Representations 、 How Net 、 Extended How Net 、 THCI Core |
出刊日期 | 200903 |
In this paper, we take Determinative-Measure Compounds as an example to
demonstrate how the E-HowNet semantic composition mechanism works in
deriving the sense representation for a newly coined determinative-measure (DM) compound. First, we define the sense of a closed set of each individual determiner and measure word in E-HowNet representation exhaustively. Afterwards, we make semantic composition rules to produce candidate sense representations for a newly coined DM. Then, we review development set to design sense disambiguation rules. We use these heuristic disambiguation rules to determine the appropriate context-dependent sense of a DM and its E-HowNet representation. The experiment shows that the current system reaches 89% accuracy in DM sense derivation and disambiguation.