論文筆記《Chinese Lexical Analysis with Deep Bi-GRU-CRF Network》
Chinese Lexical Analysis with Deep Bi-GRU-CRF Network 百度自然語言處理部的一篇論文，提出了一個結合分詞，詞性標註和命名實體識別的工具。 論文指出百度已經開發了各種分詞，詞性標註，實體識別的工具，相互獨立以便各個團隊使用。這種方式有兩個缺點： 重複計算太多，嚴重拖慢了計算速度嗎，浪費計算資源 不同任務之間不能share一些特徵，比如分詞的時候可以
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相關文章
- 1. 論文筆記-Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network
- 2. 論文筆記：Deep Residual Network
- 3. 論文《Chinese Poetry Generation with Recurrent Neural Network》閱讀筆記
- 4. 論文筆記-An Analysis of Deep Neural Network Models for Practical Applications
- 5. 論文筆記：Unsupervised Deep Embedding for Clustering Analysis
- 6. 論文筆記：Structural Deep Clustering Network
- 7. Aspect Level Sentiment Classification with Deep Memory Network筆記
- 8. Person Re-identification with Deep Similarity-Guided Graph Neural Network 論文筆記
- 9. [論文筆記]TextBoxes A Fast Text Detector with a Single Deep Neural Network
- 10. 03論文筆記《ImageNet Classification with Deep Convolutional Neural Network》