A Survey on Deep Learning for Named Entity Recognition（2020）
本文介紹Deep Learning 在命名實體識別上的應用，主要介紹三部分：輸入的分佈式表示、上下文編碼器（用於捕獲標籤解碼器的上下文）和標籤解碼器（用於預測給定順序中詞的標籤）。 命名實體識別（NER）的任務是識別文本中的組織、人和地理位置的名稱以及貨幣、時間和百分比表達式。 論文地址：A Survey on Deep Learning for Named Entity Recognition
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相關文章
- 1. 論文閱讀：A Survey on Deep Learning for Named Entity Recognition
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