Closed ErfanThinker closed 5 years ago
Most ABSA papers do not use K-fold cross-validation in their research, and there is no validation set. I think it would be a good idea to add K-fold cross-validation support in a new branch.
Actually it can be used on bing liu's datasets as used in https://link.springer.com/article/10.1007/s10586-017-1096-9 (10-fold cross-validation)
Are the hyper-parameters finetuned on the test set?
@ThomasK427 Codes for hyper-parameter tuning are not included in this repo. You can randomly split 20% of training set as the DEVset, and tune hyper-parameters on this DEVset.
Supported in this commit.
Is it possible to add K-fold cross-validation support to the code?