Research on text retelling based on Seq2Seq

Shuang Wang, Dengyun Zhu, Qi Guo, F. Wan
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Abstract

With the development of deep learning, natural language processing technology has gradually been applied to various fields, such as information extraction, machine translation, and question answering systems. Among them, the task of text retelling is to let the machine use different words and expressions to retell the original text. This process needs to retain the core semantics of the original text to the greatest extent. First, the relevant background and research status are introduced. Second, it introduces the acquisition of retelling resources and the research of retelling generation method based on deep learning. Then, the existing data sets and related evaluation indicators are introduced. Finally, the summary and Prospect of current text retelling technology are given.
基于Seq2Seq的文本复述研究
随着深度学习的发展,自然语言处理技术逐渐被应用到信息提取、机器翻译、问答系统等各个领域。其中,文本复述的任务是让机器使用不同的单词和表达来复述原文本。这个过程需要最大程度地保留原文的核心语义。首先,介绍了相关背景和研究现状。其次,介绍了复述资源的获取和基于深度学习的复述生成方法的研究。然后,介绍了现有的数据集和相关评价指标。最后,对当前文本复述技术进行了总结和展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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