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Sentence Level Paraphrase Recognition Based on Different Characteristics Combination

机译:基于不同特征组合的句子层次释义识别

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摘要

This paper has proposed a novel method based on different characteristics combination to do paraphrase recognition. We employ different measurements to weigh the lexical part and syntactic part due to that the different part of sentence makes distinguishing contribution to the sentence semantic during the task of paraphrase recognition. Our experiment is conducted by parsing the pair sentences of MSRPC first, then followed by adopting differentiated weights to calculate the power of different parts of the sentence.Through this method, we have obtained the outperform precision and average F value result compared with the previous approaches.
机译:本文提出了一种基于不同特征组合的新方法来进行释义识别。由于句子的不同部分在释义识别任务中对句子语义做出了不同的贡献,因此我们采用不同的度量方法来权衡词汇部分和句法部分。我们的实验是先对MSRPC的成对句子进行解析,然后再采用微分权重来计算句子不同部分的功效。通过这种方法,与以前的方法相比,我们获得了优于其他方法的精度和平均F值结果。

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