頁籤選單縮合
題 名 | Word Sense Disambiguation and Sense-Based NV Event Frame Identifier |
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作 者 | Tsai,Jia-lin; Hsu,Wen-lian; Su,Jeng-woei; | 書刊名 | International Journal of Computational Linguistics & Chinese Language Processing |
卷 期 | 7:1 2002.02[民91.02] |
頁 次 | 頁29-45 |
分類號 | 312.13 |
關鍵詞 | Word sense disambiguation; Event frame; Top-down identifier; Hownet; |
語 文 | 英文(English) |
英文摘要 | Word sense is ambiguous in natural language processing (NLP). This phenomenon is particularly keen in cases involving noun-verb (NV) word-pairs. This paper describes a sense-based noun-verb event frame (NVEF) identifier that can be used to disambiguate word sense in Chinese sentences effectively. A knowledge representation system (the NVEF-KR tree) for the NVEF sense-pair identifier is also proposed. We use the word sense of Hownet, which is a Chinese-English bilingual knowledge-base dictionary. Our experiment showed that the NVEF identifier was able to achieve 74.8% accuracy for the test sentences studied based only on NVEF sense-pair knowledge. By applying the techniques of longest syllabic NVEF-word-pair first and exclusion word checking, the sense accuracy for the same test sentences could be further improved to 93.7%. There were four major reasons for the incorrect cases: (1) lack of a bottom-up tagger, (2) lack of non-NVEF knowledge, (3) inadequate word segmentation, and (4) lack of a multi-NVEF analyzer. If these four problems could be resolved, the accuracy would reach 98.9%. The results of this study indicate that NVEF sense-pair knowledge is effective for word sense disambiguation and is likely to be important for general NLP. |
本系統中英文摘要資訊取自各篇刊載內容。