RTM Ensemble Learning Results at Quality Estimation Task
Ergun Biçici · 2020
We obtain new results using referential translation machines (RTMs) with predictions mixed and stacked to obtain a better mixture of experts prediction.We are able to achieve better results than the baseline model in Task 1 subtasks.Our stacking results significantly improve the results on the training sets but decrease the test set results.RTMs can achieve to become the 5th among 13 models in ru-en subtask and 5th in the multilingual track of sentence-level Task 1 based on MAE.