Comments (1)
Thank you for your interest in KnowPrompt. Your understanding is correct; virtual type words are indeed implemented using soft prompts. In addition to being initialized according to the prior probability distribution, virtual type words also serve as typer markers in relation extraction tasks.
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Related Issues (20)
- 关于预训练语言模型选择的问题 HOT 2
- paper中虚拟的type word是每个relation都一样吗? HOT 2
- experiment result HOT 1
- ValueError: too many values to unpack (expected 4) HOT 1
- Missing weighted average function for virtual answer word HOT 4
- 效果复现 HOT 2
- 运行报错 HOT 13
- Hi! How to run this code with BART model? Would you give an example of parameters setting? Thank you so much!! HOT 4
- 有关virtual type words的embedding的初始化问题 HOT 10
- 关于two-stage中的第一个阶段,论文中的描述是否和代码不一致 HOT 1
- pytorch_lightning.utilities.exceptions.MisconfigurationException: No `test_dataloader()` method defined to run `Trainer.test`. HOT 1
- code HOT 8
- configure_optimizers def HOT 1
- chinese fields HOT 15
- 跑代码报错:ValueError: Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet connection is on. HOT 3
- 下载模型到本地后代码仍然报错:在main.py中更改了地址,仍然报错 HOT 2
- compute micro F1 in code and replicate the results in paper HOT 2
- python3.8 version is not compatible with pytorch1.8.1+cu111 HOT 2
- .ckpt FileNotFoundError HOT 7
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