HSCJN: A Holistic Semantic Constraint Joint Network for Diverse Response Generation
Table 2: 2-turns dialog generation results on DailyDialog Corpus
['[BOLD] Model', '[BOLD] BLEU-1', '[BOLD] BLEU-2', '[BOLD] BLEU-3', '[BOLD] BLEU-4', '[BOLD] Distinct-1', '[BOLD] Distinct-2', '[BOLD] Distinct-3']
Furthermore, we conduct experiments on 2-turns dialogue generation. Given dialogue histories as input, we require models to generate the next two consecutive utterances. Since dialogues in the OpenSubtitles dataset contain only three turns, we conduct 2-turns response generation on the DailyDialog corpus. From the results, our model exceeds all baseline models with diversity improvement in multi-turn dialogue generation, and even higher BLEU-3 and BLEU-4.