1 code implementation • SIGDIAL (ACL) 2021 • Suvodip Dey, Maunendra Sankar Desarkar
The model parameters of Hi-DST are independent of the number of domains/slots.
no code implementations • 12 Oct 2022 • Sharan Narasimhan, Pooja Shekar, Suvodip Dey, Maunendra Sankar Desarkar
Text Style Transfer (TST) is performable through approaches such as latent space disentanglement, cycle-consistency losses, prototype editing etc.
1 code implementation • 12 Oct 2022 • Suvodip Dey, Maunendra Sankar Desarkar, Asif Ekbal, P. K. Srijith
In this work, we propose DialoGen, a novel encoder-decoder based framework for dialogue generation with a generalized context representation that can look beyond the last-$k$ utterances.
1 code implementation • NAACL 2022 • Sharan Narasimhan, Suvodip Dey, Maunendra Sankar Desarkar
We empirically show that this (a) produces a better organised latent space that clusters stylistically similar sentences together, (b) performs best on a diverse set of text style transfer tasks than similar denoising-inspired baselines, and (c) is capable of fine-grained control of Style Transfer strength.
1 code implementation • ACL 2022 • Suvodip Dey, Ramamohan Kummara, Maunendra Sankar Desarkar
Generally in DST, the dialogue state or belief state for a given turn contains all the intents shown by the user till that turn.