Enhancements of Attention-Based Bidirectional LSTM for Hybrid Automatic Text Summarization

Enhancements of Attention-Based Bidirectional LSTM for Hybrid Automatic Text Summarization

The automatic generation of a text summary is a task of generating a short summary for a relatively long text document by capturing its key information. In the past, supervised statistical machine learning was widely used for the Automatic Text Summarization (ATS) task, but due to its high dependenc...

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Bibliographic Details
Main Authors: Jiawen Jiang, Haiyang Zhang, Chenxu Dai, Qingjuan Zhao, Hao Feng, Zhanlin Ji, Ivan Ganchev
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Natural language processing (NLP)
automatic text summarization (ATS)
sequenceto-sequence (Seq2Seq) model
attention mechanism
bidirectional LSTM (Bi-LSTM)
pointer network
Online Access:https://ieeexplore.ieee.org/document/9528391/

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