Papers by Saravanan Ganesh
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems (2021.acl-long)
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| Challenge: | TicketTalk dataset with 23,789 annotated dialogs is a data-driven, end-to-end approach to transaction-based dialog systems that performs at near-human levels in terms of verbal response quality and factual grounding accuracy. |
| Approach: | They propose a data-driven, end-to-end approach to transaction-based dialog systems that performs at near-human levels in terms of verbal response quality and factual grounding accuracy. |
| Outcome: | The proposed model generates verbal responses and API call predictions on a movie ticketing dialog dataset with 23,789 annotated conversations. |