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 … 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 ...
Machine Learning Datasets Papers With Code
Web1 day ago · DOI: 10.18653/v1/D15-1229. Bibkey: hu-etal-2015-lcsts. Cite (ACL): Baotian Hu, Qingcai Chen, and Fangze Zhu. 2015. LCSTS: A Large Scale Chinese Short Text Summarization Dataset. In Proceedings of … WebSep 22, 2024 · Third, the recent studies of Chinese text summarization are still in their early stages; the literature that addresses this subject area in Chinese is fairly scant and has only recently become comparable to that on other languages. In addition, Chinese text summarization has not yet reached the same level of maturity and reliability as that for ... sondra west actress
A Large-Scale Chinese Long-Text Extractive Summarization Corpus
WebNLP公开数据. Contribute to Xian-RongZhang/NLPDataSet2 development by creating an account on GitHub. WebMar 1, 2024 · At present, most Chinese text summarization algorithms use the sequence-to-sequence model, but this model is prone to the problems of unknown words and incomplete content generation. To address ... 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 ... sondra yarborough