Comments (2)
cooelf
commented on May 28, 2024
你好，关于GRU的部分在这部分代码：https://github.com/cooelf/SemBERT/blob/master/tag_model/modeling.py
可以在模型调用部分调用BiGRU，我们发布的版本默认用了最简单的方式，用线性层速度相对GRU要快一些，性能很接近。
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LinMu7177
commented on May 28, 2024
哦哦 好的 万分感谢您的回复了！
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Related Issues (20)
- srl is not a registered name for model HOT 1
- Allennlp预测SRL结果不一致 HOT 7
- 数据集下载失败 HOT 1
- About SQuAD task HOT 1
- srl is not a registered name for Model. HOT 1
- why the info of SRL is not used as additional embedding layers
- Why is the SRL information not used as an additional embedding layer. HOT 2
- Error: online data annotation HOT 1
- Missing key(s) in state_dict: "bert_model.embeddings.position_ids". HOT 1
- when using allennlp srl model for predicting, the speed is slow HOT 1
- forward计算中只用了cls，所以bert后的cnn对齐还有必要吗？另外请教是否尝试过融入词性特征呢？ HOT 2
- 请问是否提供了在SQuAD2.0数据集上运行的代码？ HOT 1
- 请问是否有在SQuAD2.0上的代码呢 HOT 1
- Use pre-trained SemBERT as a sentence encoder? HOT 1
- RuntimeError: size mismatch, m1: [32 x 78], m2: [778 x 778] HOT 2
- Pool function dimension not match HOT 4
- allennlp-models version HOT 2
- Cannot re-produce the result on SNLI HOT 2
- 请问为什么要用max处理sequence_out HOT 1
- Errors from allennlp
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