A Review of Automatic Text Summarization Technology Research

The popularity of deep learning and artificial intelligence products is increasing, and as a result, large-scale models that focus on natural language processing are receiving significant attention. As an important link in the field of natural language processing, text summarization has also become a research hotspot. Automatic text summarization is the use of computers to extract and summarize the core information of texts composed of human natural language. This paper lists commonly used traditional automatic text summarization technologies, and introduces and gives examples of existing pre-trained models in the field of NLP and automatic text summarization technologies based on deep learning. Then, it introduces common data sets and evaluation criteria. Finally, it presents the challenges and future development trends of automatic text summarization technology.