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題 名 | 背景知識的分類=Categorizing Background Knowledge |
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作 者 | 冀劍制; | 書刊名 | 華梵人文學報 |
卷 期 | 15 2011.01[民100.01] |
頁 次 | 頁5+7-40 |
分類號 | 120 |
關鍵詞 | 人工智慧; 背景知識; 操作型知識; 共同知識; Artificial intelligence; AI; Background knowledge; Practical knowledge; Common knowledge; |
語 文 | 中文(Chinese) |
中文摘要 | 背景知識的問題常常被認為是機器學習自然語言的最大問題。然而,在解決背景知識問題的研究中,背景知識問題常常被當作是單一一個問題來思考解決方式,本論文企圖指出,背景知識問題實際上應該被看作好幾個不同問題的集合,因為這些問題雖然都可以稱之為背景知識問題,但卻在認知中扮演不同的角色,而且更重要的是它們需要不同的解決方式來處理。當我們將之區分開來之後,我們至少會發現,背景知識問題變得較為清楚明確,這將有助於我們思考是否可能解決這些問題以及如何解決這些問題。 |
英文摘要 | The problem of background knowledge is considered one of the hardest problems for machines to learn natural languages. In dealing with this problem, scholars often consider it as ONE problem, which implies that we need ONE solution to solve it. In this paper, I argue that the problem of background knowledge is in fact a set of several different problems and then we need several different methods to deal with them. Before we distinguish them, we may intuitively believe that the problem cannot be solved or the knowledge is non-represented. However, after distinguishing them, this intuition will at least be weakened. In addition, this distinction will make it easier for us to find a way to solve them. |
本系統中英文摘要資訊取自各篇刊載內容。