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Sentence Similarity Measure Based on Events and Content Words

机译:基于事件和内容词的句子相似度度量

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摘要

Similarity between sentences plays an important role in a variety of applications of natural language process. The paper proposes a novel method to calculate sentence similarity, which takes into account both semantic and syntax: measuring semantic similarity based on events, measuring syntactic similarity based on content words sequence. Our experimental results show that the method is reasonable and effective.
机译:句子之间的相似性在自然语言处理的各种应用中起着重要的作用。提出了一种兼顾语义和句法的句子相似度计算方法:基于事件的语义相似度度量,基于内容词序列的句法相似度度量。实验结果表明该方法是合理有效的。

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