Search Results for author: Memduh Gökırmak

Found 1 papers, 0 papers with code

End to End Dialogue Transformer

no code implementations24 Aug 2020 Ondřej Měkota, Memduh Gökırmak, Petr Laitoch

We are here inspired by the performance of the recurrent neural network-based model Sequicity, which when conducting a dialogue uses a sequence-to-sequence architecture to first produce a textual representation of what is going on in the dialogue, and in a further step use this along with database findings to produce a reply to the user.

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