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A sentence compaction experiment based on phrase significance and inter-phrase dependency

机译:基于短语意义和短语依赖性的句子压缩实验

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摘要

Most of text summarization methods reported so far are based on the idea of selecting important sentences from a set of given sentences. However, it is sometimes necessary to shorten each sentence. In such a case, it is important that a shortened sentence is natural as a Japanese sentence. In this paper we present results of sentence compaction experiments using phrase significance score and inter-phrase dependency score. The results show that information of phrase category frequency is effective for inter-phrase dependency score calculation, and that phrase significance score has more influence on the results in higher compaction rate cases.
机译:到目前为止报告的大多数文本摘要方法都是基于从一组给定句子中选择重要句子的想法。 但是,有时需要缩短每个句子。 在这种情况下,重要的是,缩短的句子是自然的作为日语。 在本文中,我们使用短语意义分数和短语依赖性得分呈现句子压实实验的结果。 结果表明,短语类别频率的信息对于短语间依赖性分数计算是有效的,并且短语意义评分对更高的压实率案例的结果具有更多影响。

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