从词典定义诱导词汇具体性的初步研究

O. Kwong
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引用次数: 5

摘要

虽然具体词和抽象词之间的区别似乎是固有的,但依靠人类评分来衡量词汇的具体程度更直观而非客观。在本研究中,我们旨在将具体区分从词汇层面扩展到意义层面,并从词典定义中归纳出单个意义和单词的具体数值指标。人类评分和定义诱导评分之间的高度一致性鼓舞了我们进一步模拟更多语言资源的区别。这种模拟的具体性索引被认为不仅可以为词典编纂提供信息,还可以为自动词义消歧等自然语言处理任务提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Preliminary Study on Inducing Lexical Concreteness from Dictionary Definitions
While the distinction between concrete words and abstract words appears to be inherent, the measure of lexical concreteness relying on human ratings is more intuitive than objective. In this study, we aim at extending the concreteness distinction from the lexical level to the sense level, and inducing a numerical index of concreteness for individual senses and words from dictionary definitions. The high overall agreement between human ratings and definition-induced ratings is encouraging for us to further simulate the distinction from more language resources. Such a simulated index for concreteness is believed to inform not only lexicography but also natural language processing tasks like automatic word sense disambiguation.
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