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Research on interpretation of nominal compound

机译:标称化合物解释的研究

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摘要

Nominal compounds which constituted of two nouns together are very common in reading materials or web pages. The interpretation of these compounds can help us know the meaning of a text or sentences. Traditional approaches utilized the method based on verbs and rules to obtain the interpretation of compounds with low recall. So we investigate an interpretation method based on similarity which makes use of the interpretation templates and similar words to achieve the automatic interpretation. Experimental results show that our method can interpret these nominal compounds with a relatively high precision (84.91%), give an increase of 10.48% in recall than the general method, which contributes to the overall nominal compound recall improvement significantly.
机译:在读取材料或网页中,由两个名词构成的标称化合物非常常见。对这些化合物的解释可以帮助我们知道文本或句子的含义。传统方法利用了基于动词和规则的方法,以获得低召回化合物的解释。因此,我们研究了一种基于相似性的解释方法,该方法利用解释模板和类似的单词来实现自动解释。实验结果表明,我们的方法可以用相对高的精度(84.91%)解释这些标称化合物,比一般方法增加10.48%,这有助于显着提高整体名义复合召回改善。

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