Chinese SNACS Corpus是首个针对汉语中所有介词进行语义标注的数据集,由乔治城大学语言学系创建。该数据集基于《小王子》的中文翻译,共包含20,287个词汇,其中933个为介词。数据集的创建过程中,研究者们采用了SNACS(Semantic Network of Adposition and Case Supersenses)框架,对介词进行了详细的语义分类。该数据集主要应用于自然语
The report on SNAC for Semaglutide covers a summarized study of several factors supporting market growth, such as market size, market type, major regions, and end-user applications. The report enables