Zero Update achieves competitive performances in Case 1 (90.9 for IMDB) and Case 2 (86.7 for Kitchen), as tasks from these two cases all belong to sentiment datasets of different cardinalities or domains that contain rich semantic correlations with each other.
the result for IMDB in Case 3 is only 74.2, as sentiment shares less relevance with topic and question type, thus leading to poor transferring performances.