Counterfactual data augmentation via perspective transition for open-domain dialogues
The construction of open-domain dialogue systems requires high-quality dialogue datasets.
The dialogue data admits a wide variety of responses for a given dialogue history, especially …
The dialogue data admits a wide variety of responses for a given dialogue history, especially …
Partner personas generation for dialogue response generation
Incorporating personas information allows diverse and engaging responses in dialogue
response generation. Unfortunately, prior works have primarily focused on self personas …
response generation. Unfortunately, prior works have primarily focused on self personas …
State-of-the-art in Open-domain Conversational AI: A Survey
We survey SoTA open-domain conversational AI models with the objective of presenting the
prevailing challenges that still exist to spur future research. In addition, we provide statistics …
prevailing challenges that still exist to spur future research. In addition, we provide statistics …
An equal-size hard EM algorithm for diverse dialogue generation
Open-domain dialogue systems aim to interact with humans through natural language texts
in an open-ended fashion. Despite the recent success of super large dialogue systems such …
in an open-ended fashion. Despite the recent success of super large dialogue systems such …
SimOAP: Improve coherence and consistency in persona-based dialogue generation via over-sampling and post-evaluation
Language models trained on large-scale corpora can generate remarkably fluent results in
open-domain dialogue. However, for the persona-based dialogue generation task …
open-domain dialogue. However, for the persona-based dialogue generation task …