Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss
Problem 對於FETC（Fine-grained Entity Type Classification）問題，當前常用的基於距離監督的的方法存在 out-of-context 和 overly-specific 的問題。 比如上圖中，對於實體 Steven Kerr，基於距離監督的方法會給出三個 label：{person，athlete，coach}。然而，對於句子 S1， 其只和 {pe
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相關文章
- 1. 論文學習4-An Attentive Neural Architecture for Fine-grained Entity Type Classification
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- 9. alexnet筆記（ImageNet Classification with Deep Convolutional Neural Networks）
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