A condense-then-select strategy for text summarization-Reference-Cited by-同舟云学术

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A condense-then-select strategy for text summarization

Published:2021-09 Issue: Volume:227 Page:107235
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Chan Hou Pong^ORCID,King Irwin^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference53 articles.

1. Abstractive text summarization using sequence-to-sequence RNNs and beyond;Nallapati,2016

2. Get to the point: Summarization with pointer-generator networks;See,2017

3. A deep reinforced model for abstractive summarization;Paulus,2018

4. Exclusive hierarchical decoding for deep keyphrase generation;Chen,2020

5. Neural machine translation by jointly learning to align and translate;Bahdanau,2015

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1. Techniques for Fine-Grained Analysis of Scientific and Technological Intelligence;2024 2nd International Conference on Communications, Computing and Artificial Intelligence;2024-06-21

2. A Comparative Analysis of the Performance of Deep Learning Techniques in Precision Farming Using Soil and Climate Factors;Procedia Computer Science;2024

3. Metaheuristic Aided Improved LSTM for Multi-document Summarization: A Hybrid Optimization Model;Journal of Web Engineering;2023-10-25

4. Enhanced sentence representation for extractive text summarization: Investigating the syntactic and semantic features and their contribution to sentence scoring;Expert Systems with Applications;2023-10

5. Gtpsum: guided tensor product framework for abstractive summarization;The Journal of Supercomputing;2023-09-22

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