自动文本摘要中句子分数加厚的方法

Michael George
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引用次数: 0

摘要

在我们的研究中,我们将使用将自然语言处理NLP与Term occurrence相结合的方法,通过增厚句子得分以及减少最终摘要中包含的长句子的数量来提高重要句子选择的质量。有16种已知的自动文本摘要方法。在本文中,我们利用词频方法建立了一个算法来重新过滤句子得分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Approach for Thickening Sentence Score for Automatic Text Summarization
In our study we will use approach that combine Natural language processing NLP with Term occurrences to improve the quality of important sentences selection by thickening sentence score along with reducing the number of long sentences that would be included in the final summarization. There are sixteen known methods for automatic text summarization. In our paper we utilized Term frequency approach and built an algorithm to re filter sentences score.
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