Traditional summarization generation techniques overlook the role of keyword information in generating sum-maries,resulting in difficulty in focusing on key information in the generated summaries.To solve this problem,a text sum-marization generation method based on the Transformer model,and integrating keywords and convolutional neural networks is proposed to achieve keyword guided summarization generation.The experiment is conducted on the CSDS dataset,and the results shows that the method improved on the ROUGE scores,verifying the effectiveness of the proposed method.
关键词
文本摘要/关键词提取/卷积神经网络/Transformer
Key words
text summarization/keywords extraction/convolutional neural networks/Transformer
维普
万方数据