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Wizard of Wikipedia: Knowledge-Powered Conversational agents
[article]
2019
arXiv
pre-print
In open-domain dialogue intelligent agents should exhibit the use of knowledge, however there are few convincing demonstrations of this to date. The most popular sequence to sequence models typically "generate and hope" generic utterances that can be memorized in the weights of the model when mapping from input utterance(s) to output, rather than employing recalled knowledge as context. Use of knowledge has so far proved difficult, in part because of the lack of a supervised learning benchmark
arXiv:1811.01241v2
fatcat:2qllsju26jhwnlbftl4y5eo7ke