Web: http://arxiv.org/abs/2205.02570

May 6, 2022, 1:11 a.m. | Yujie Xing, Jinglun Cai, Nils Barlaug, Peng Liu, Jon Atle Gulla

cs.CL updates on arXiv.org arxiv.org

Open-domain conversational systems are assumed to generate equally good
responses on multiple domains. Previous work achieved good performance on the
single corpus, but training and evaluating on multiple corpora from different
domains are less studied. This paper explores methods of generating relevant
responses for each of multiple multi-domain corpora. We first examine
interleaved learning which intermingles multiple corpora as the baseline. We
then investigate two multi-domain learning methods, labeled learning and
multi-task labeled learning, which encode each corpus through a …

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