Research on Abstractive Summarization Technology Based on Deep Learning
Yifei Chen · 2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA) · 2022
Abstractive text summarization is an important research field in natural language learning. Compared with the extracted text summary, it is more in line with the preparation steps of the manual summary. In traditional machine learning, supervised learning is the main method. Text annotation, feature extraction, classification training, and weight extraction are also very different from those based on deep learning. Starting with the task of abstractive text summarization based on deep learning, this paper summarizes the current research status of abstractive text summarization, in-depth analysis of multiple designs of encoder-decoder for current deep learning methods, and points out the difficulties of current research and the hot direction of future development.