A Text Abstraction Summary Model Based on BERT Word Embedding and Reinforcement Learning

A Text Abstraction Summary Model Based on BERT Word Embedding and Reinforcement Learning

As a core task of natural language processing and information retrieval, automatic text summarization is widely applied in many fields. There are two existing methods for text summarization task at present: abstractive and extractive. On this basis we propose a novel hybrid model of extractive-abstr...

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Bibliographic Details
Main Authors: Qicai Wang, Peiyu Liu, Zhenfang Zhu, Hongxia Yin, Qiuyue Zhang, Lindong Zhang
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Applied Sciences
Subjects:
bert word embedding
text summary
reinforce learning
Online Access:https://www.mdpi.com/2076-3417/9/21/4701

Internet

https://www.mdpi.com/2076-3417/9/21/4701

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