A Topic Information Fusion and Semantic Relevance for Text Summarization

A Topic Information Fusion and Semantic Relevance for Text Summarization

With the continuous development of deep learning, pre-trained models have achieved sound effects in the field of natural language processing. However, text summarization research is far from what people want, especially in abstractive summarization. A high-quality summarization system needs to focus...

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Bibliographic Details
Main Authors: Fucheng You, Shuai Zhao, Jingjing Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Summarization generation
fine-tune BERT
topic information
semantic relevance
transformer
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/9107114/

Internet

https://ieeexplore.ieee.org/document/9107114/

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