基于深度学习的生成式自动摘要技术

Generative Automatic Summarization Technology Based on Deep Learning

随着互联网上文本信息的爆发式增长,自动从大量文本信息中提取重要内容俨然成为迫切需求。本文旨在对用户浏览信息进行提炼,根据用户感兴趣的内容生成相应的AI话术,因此,本文采用Seq2Seq+Attention的框架进行摘要生成模型构建,通过联合注意力机制将文本中的关键信息与语义信息结合起来实现对摘要的引导生成,达到对信息进行压缩和提炼的目的。

With the explosive growth of text information on the Internet,automatic extraction of important content from a large number of text information has become an urgent need.The purpose of this paper is to extract the user's browsing information and generate the corresponding AI script according to the content that the user is interested in.Therefore,this paper uses the framework of seq2seq+attention to construct the summary generation model.Through the joint attention mechanism,it combines the key information in the text with the semantic information to achieve the purpose of compressing and refining the information.