[論文閱讀筆記02]Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
題目 Nested Named Entity Recognition via Second-best Sequence Learning and Decoding 通過次優序列學習和解碼嵌套命名實體識別 摘要 在訓練神經模型上，設計了一個目標函數去處理嵌套實體的標籤序列作爲在雙新實體跨度的次優路徑； 在解碼預測上，使用從外部到內部的迭代提取實體的方式； 效果爲目前領先。 問題背景 這個句子來自GE
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