LenC: A Redundancy-Aware Length Control Framework for Extractive Summarization

2021 4th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)(2021)

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摘要
While extractive summarization is an important approach of the NLP text summarization task, redundancy in the generated extractive summary is always a problem. Previous works usually set the length of the output summary to a fixed number, which might only be appropriate for some of the documents while too long for others. At the same time, though extractive summarization possesses high readability...
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关键词
Redundancy,Pipelines,Bit error rate,Feature extraction,Data mining,Task analysis,Artificial intelligence
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