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題 名 | Towards a Representation of Verbal Semantics--An Approach Based on Near-Synonyms |
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作 者 | Tsai,Mei-chih; Huang,Chu-ren; Chen,Keh-jiann; Ahrens,Kathleen; | 書刊名 | International Journal of Computational Linguistics & Chinese Language Processing |
卷 期 | 3:1 1998.02[民87.02] |
頁 次 | 頁61-74 |
分類號 | 312.23 |
關鍵詞 | |
語 文 | 英文(English) |
英文摘要 | In this paper we propose using the distributional differences in the syntactic patterns of near-synonyms to deduce the relevant components of verb meaning. Our method involves determining the distributional differences in syntactic patterns, deducing the semantic features from the syntactic phenomena, and testing the semantic features in new syntactic frames. We determine the distributional differences in syntactic patterns through the following five steps: First, we search for all instances of the verb in the corpus. Second, we classify each of these instances into its type of syntactic function. Third, we classify each of these instances into its argument structure type. Fourth, we determine the aspectual type that is associated with each verb. Lastly, we determine each verb's sentential type. Once the distributional differences have been determined, then the relevant semantic features are postulated. Our goal is to tease out the lexical semantic features as the explanation, and as the motivation of the syntactic contrasts. |
本系統中英文摘要資訊取自各篇刊載內容。