BOOK-CHAPTER

A Sequence-to-Sequence Approach for Text Summarization Using Bi-LSTM Networks

Keywords:

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
10
Refs
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Related Documents

JOURNAL ARTICLE

Chinese long text summarization using improved sequence-to-sequence lstm

Zanjie YaoAixiang ChenHan Xie

Journal:   Journal of Physics Conference Series Year: 2020 Vol: 1550 (3)Pages: 032162-032162
BOOK-CHAPTER

Text Summarization Using Combination of Sequence-To-Sequence Model with Attention Approach

Prasad BhandarkarK. T. Thomas

Lecture notes on data engineering and communications technologies Year: 2022 Pages: 283-293
JOURNAL ARTICLE

Hindi Text Summarization Using Sequence to Sequence Neural Network

Namrata KumariPardeep Singh

Journal:   ACM Transactions on Asian and Low-Resource Language Information Processing Year: 2023 Vol: 22 (10)Pages: 1-18
© 2026 ScienceGate Book Chapters — All rights reserved.