BOOK-CHAPTER
A Sequence-to-Sequence Approach for Text Summarization Using Bi-LSTM Networks
Aanand D. NaikPallavi DhadedShireesh HakkiSatish ChikkamathSuneeta V. BudihalSujata Kotabagi
Year: 2025 Lecture notes in networks and systems Pages: 466-474 Publisher: Springer International Publishing
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
Journal: Journal of Physics Conference Series Year: 2020 Vol: 1550 (3)Pages: 032162-032162
JOURNAL ARTICLE
AUTOMATIC TEXT SUMMARIZATION USING SEQUENCE-TO-SEQUENCE MODELS
Journal: Internauka Year: 2022 Vol: 242 (19)
BOOK-CHAPTER
Text Summarization Using Combination of Sequence-To-Sequence Model with Attention Approach
Lecture notes on data engineering and communications technologies Year: 2022 Pages: 283-293
JOURNAL ARTICLE
Hindi Text Summarization Using Sequence to Sequence Neural Network
Journal: ACM Transactions on Asian and Low-Resource Language Information Processing Year: 2023 Vol: 22 (10)Pages: 1-18