WebApr 13, 2024 · Existing unsupervised, opinion summarization techniques follow a two-stage framework: first creating synthetic review-summary paired datasets and then feeding them into generative summary model ... WebJul 7, 2024 · Global encoding for long chinese text summarization. Jan 2024; 2024; et al., 2024] Xuefeng Xi, Zhou Pi, and Guodong Zhou. Global encoding for long chinese text summarization. ACM Trans. Asian Low ...
Global Encoding for Long Chinese Text …
WebApr 7, 2024 · In the area of text summarization, there have been significant advances recently. In the meantime, the current trend in text summarization is focused more on news summarization. Therefore, developing a synthesis approach capable of extracting, comparing, and ranking sentences is vital to create a summary of various news articles … WebJul 1, 2024 · Abstract and Figures. In view of the problems of exposure bias and insufficient annotation data in the existing Chinese short text summary algorithms, a new pre … rbl nodal officer
LCSTS: A Large Scale Chinese Short Text Summarization Dataset
WebOct 6, 2024 · Automatic text summarization; Chinese summarization dataset; Adequacy and Deducibility; Download conference paper PDF 1 Introduction. Text summarization is an important task in natural language processing, which requires the system to understand the long document and generate a short text to summarize its main idea. There are two ... WebJun 9, 2024 · The abstractive methods lack of creative ability is particularly a problem in automatic text summarization. The summaries generated by models are mostly extracted from the source articles. One of the main causes for this problem is the lack of dataset with abstractiveness, especially for Chinese. In order to solve this problem, we paraphrase ... WebFeb 1, 2024 · Abstract and Figures. In order to extract some sentences that can cover the topic of a Chinese article, a Chinese text summarization algorithm based on Word2vec is used in this paper. Words in an ... rbl online apply