Datasets for NLPCC2022.SharedTask5.Track1
收藏科学数据银行2022-04-06 更新2026-04-23 收录
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资源简介：
In recent years, the indexing for scientific research literature is becoming more and more important with the increasing number of such literature in various fields. According to incomplete statistics, about 2.5 million research papers published from about 28100 journals every year. Search engines, digital libraries and citation indexes are widely used to search these documents and publications. The intelligent classification of scientific research literature is helpful to improve the retrieval efficiency and quality of users. Hierarchical multi-label classification is a common method for indexing scientific research literature. For example, both arXiv and Microsoft Academic adopt this method. Moreover, hierarchical multi-label classification is also a challenging task in text classification.
提供机构：
CNPIEC KEXIN LTD
创建时间：
2022-03-31
