Computing device for labeling training data, computing device for establishing article labeling model, and computing device for labeling articles

A computing device for marking training data comprises an input module for inputting an article and a processing module.The processing module preprocesses the article to obtain a processed text,The processed text is identified by a named entity to identify multiple words,According to these words and a set of grammar rules, multiple target statements are obtained from the processed text,For each paragraph of the processed text containing at least one of the target statements,Divide the paragraph into at least one sub paragraph,For each sub paragraph,Count the number of target statements contained in this sub paragraph,And mark the target paragraphs from all sub paragraphs where the number of corresponding target statements is not zero,The relevance degree is obtained according to the number of target statements of each target paragraph.一種用於標註訓練資料的運算裝置包含一用於輸入一文章的輸入模組及一處理模組。該處理模組將該文章進行文本前處理以獲得一處理後文本，並將該處理後文本進行一命名實體識別以識別出多個字詞，且根據該等字詞及一組語法規則自該處理後文本獲得多個目標語句，對於該處理後文本中包含該等目標語句之至少一者的每一段落，將該段落切分為至少一子段落，對於每一子段落，統計該子段落中所包含之目標語句的數量，並自所有子段落中標記出對應有目標語句的數量不為零的目標段落，且根據每一目標段落之目標語句的數量獲得其所對應之關聯度。