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Word Sense Disambiguation-based Sentence Similarity

机译:基于词义消歧的句子相似度

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摘要

Previous works tend to compute the similarity between two sentences based on the comparison of their nearest meanings. However, the nearest meanings do not always represent their actual meanings. This paper presents a method which computes the similarity between two sentences based on a com- parison of their actual meanings. This is achieved by transforming an existing most-outstanding corpus-based measure into a knowledge-based measure, which is then integrated with word sense dis- ambiguation. The experimental results on a standard data set show that the pro- posed method outperforms the baseline and the improvement achieved is statisti- cally significant at 0.025 levels.
机译:先前的作品倾向于根据它们最接近的含义的比较来计算两个句子之间的相似度。但是,最接近的含义并不总是代表其实际含义。本文提出了一种基于两个句子实际含义的比较来计算它们之间相似度的方法。这是通过将现有的最杰出的基于语料库的度量转换为基于知识的度量,然后与词义歧义集成在一起来实现的。在标准数据集上的实验结果表明,所提出的方法优于基线,并且在0.025的水平上达到的改进具有统计学意义。

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