Modeling Psychotherapy Dialogues with Kernelized Hashcode Representations:A Nonparametric Information-Theoretic Approach
Table 3: Human evaluation scores on Depression dataset (300 test samples) for our generative hashing model (LSH-RkNN-Gen) w.r.t. the baseline models, and our response selection based hashing model (LSH-RkNN).
['[EMPTY]', 'LSTM', 'HRED', 'VHRED', 'LSH-RkNN', '[BOLD] LSH-RkNN-Gen']
Further, we performed another human evaluation of LSH-RkNN, for a comparison between response generation vs response selection, and their comparison w.r.t. the baseline neural models. As we observe in Tab. Low diversity of generated responses remains an issue, as also known to be the case for neural models.