論文閱讀《An Effective Transition-based Model for Discontinuous NER》
LawsonAbs的認知與思考，還請各位讀者批判閱讀。 0.總結 使用transition-based model。這種model 使用傳統數據結構（stack ）作爲基礎 自定義棧的操作類型，從而達到一個 entity recognization 的效果 持續更新~ 本博客分成部分： part1是論文筆記，主要是概括了一下論文的主要內容； part2用於解決對論文的疑問； part3部分是關於如
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相關文章
- 1. 【論文閱讀筆記】An Unsupervised Learning Model for Deformable Medical Image Registration
- 2. [論文解讀]EMNLP2019: A Boundary-aware Neural Model for Nested NER
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- 8. 【論文閱讀筆記】RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechan
- 9. 論文閱讀：EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
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