论文阅读《An Effective Transition-based Model for Discontinuous NER》

时间 2021-07-12

标签 nlp 论文阅读自然语言处理繁體版

原文原文链接

LawsonAbs的认知与思考，还请各位读者批判阅读。 0.总结使用transition-based model。这种model 使用传统数据结构（stack ）作为基础自定义栈的操作类型，从而达到一个 entity recognization 的效果持续更新~ 本博客分成部分： part1是论文笔记，主要是概括了一下论文的主要内容； part2用于解决对论文的疑问； part3部分是关于如

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1. 【论文阅读笔记】An Unsupervised Learning Model for Deformable Medical Image Registration
2. [论文解读]EMNLP2019: A Boundary-aware Neural Model for Nested NER
3. 论文阅读《EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection》
4. 论文阅读笔记《∆-encoder: an effective sample synthesis method for few-shot object recognition》
5. 论文阅读：Incorporating dictionaries into deep neural networks for the Chinese clinical NER
6. 论文阅读：《AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience》
7. 【论文阅读笔记】RETAIN: An Interpretable Predictive Model for ealthcare using Reverse Time Attention Mechani
8. 【论文阅读笔记】RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechan
9. 论文阅读：EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
10. 论文阅读：RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems

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