sentence1: for instance , ¡® seq-kd + seq-inter + word-kd ¡¯ in table 1 means that the model was trained on seq-kd data and fine-tuned towards seq-inter data .
sentence2: 9 for instance , ¡®seq-kd + seq-inter + word-kd¡¯ in table 1 means that the model was trained on seq-kd data and fine-tuned towards seq-inter data with the mixture cross-entropy loss at the word-level .