[NLP] Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue Review
[Byeongchang Kim, Jaewoo Ahn, Gunhee kim, Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. In ICLR, 2020] published as a conference paper at ICLR 2020 Had hard time understanding the equations. But the paper shall be reviewed as much as I can. Hope this would work as another milestone for future studies. : ) [Abstract] The paper introduces a better model for a NLP subproblem called knowledge selection . To briefly address the knowledge selection , it is a generation of answers in a dialogue composed of an inquirer and answerer. Yet, it is not a simple dialogue generation but a generation of answers (not the inquiries) based on knowledge selection. A baseline dataset is Wizard of Wikipedia (Dinan et al., 2019) from facebook parlAI [Introduction] The paper introduces the pros of its new model called Sequential Knowledge Transformer (SKT) in three aspects. Dealing the diversity in knowledge selection of conversation (one-to-many relations) Better leverag...