Cross-domain Few-Shot NER Result

[lvminghan1997]

in no source-domain data，MIT Movie 10 shot ,the result in paper is 37.3,why i get 51.06 , can you tell me some detail about that?

[lplping]

I have the same doubt, i get 0.496 in MIT Movie 10 shot

[zhanghaok]

I have the same doubt, i get 0.496 in MIT Movie 10 shot

您好！我现在已经在CoNLL03上复现了你的结果，也生成了对应的模型，请问我如何在MIT Movie少样本数据集上进行微调呢，直接在train.py中修改数据集的路径，然后运行就可以了吗?

[zhanghaok]

您好！我现在已经在CoNLL03上复现了你的结果，也生成了对应的模型，请问我如何在MIT Movie少样本数据集上进行微调呢，直接在train.py中修改数据集的路径，然后运行就可以了吗?

[Nealcly]

One possible reason is the sample details. Could you sample multiple times and calculate the average performance?

[bwl666]

in no source-domain data，MIT Movie 10 shot ,the result in paper is 37.3,why i get 51.06 , can you tell me some detail about that?

Hello, I would like to ask if dev .txt is not needed in cross-domain experiments such as mit-movie. If not, will this overfit?