LTKW: An Improvement of Extractive Automatic Text Abstract model on Long Chinese Text

Yuwen Li, Yuzhuo Fu, Ting Liu
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Abstract

Natural language processing is an important direction of artificial intelligence. Automatic text abstract is an information compression technique that automatically converts a collection of text or text into a short summary according to a certain type of application. However, text summaries have not received much attention in the Chinese language field compared to the hot areas as automatic question and answer, knowledge mapping, sentiment analysis and other natural language processing tasks.
LTKW:一种改进的中文长文本自动抽取摘要模型
自然语言处理是人工智能的一个重要方向。自动文本摘要是一种信息压缩技术,它可以根据特定类型的应用自动将文本或文本集合转换为简短的摘要。然而,与自动问答、知识图谱、情感分析等自然语言处理任务等热点领域相比,文本摘要在汉语领域受到的关注并不多。
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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