A General Contextualized Rewriting Framework for Text Summarization
Author:
Affiliation:
1. Zhejiang University, Hangzhou, China
2. School of Engineering, Westlake University, Hangzhou, China
Funder
Pioneer and Leading Goose R&D Program of Zhejiang
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics
Link
http://xplorestaging.ieee.org/ielx7/6570655/9970249/10109120.pdf?arnumber=10109120
Reference41 articles.
1. Neural Summarization by Extracting Sentences and Words
2. A deep reinforced model for abstractive summarization;paulus,2017
3. Hedge Trimmer
4. Google's neural machine translation system: Bridging the gap between human and machine translation;wu,2016
5. Summary Level Training of Sentence Rewriting for Abstractive Summarization
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1. Deep Learning Techniques for Automatic Text Summarization: A Review;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24
2. ConHGNN-SUM: A Contextualized Heterogeneous Graph Neural Network for Extractive Text Summarization;2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP);2024-02-21
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