[HTML][HTML] Learning towards conversational AI: A survey
Recent years have witnessed a surge of interest in the field of open-domain dialogue.
Thanks to the rapid development of social media, large dialogue corpus from the Internet …
Thanks to the rapid development of social media, large dialogue corpus from the Internet …
Mmdialog: A large-scale multi-turn dialogue dataset towards multi-modal open-domain conversation
Responding with multi-modal content has been recognized as an essential capability for an
intelligent conversational agent. In this paper, we introduce the MMDialog dataset to better …
intelligent conversational agent. In this paper, we introduce the MMDialog dataset to better …
Efficient Dynamic Hard Negative Sampling for Dialogue Selection
Recent studies have demonstrated significant improvements in selection tasks, and a
considerable portion of this success is attributed to incorporating informative negative …
considerable portion of this success is attributed to incorporating informative negative …
On Task-Adaptive Pretraining for Dialogue Response Selection
Recent advancements in dialogue response selection (DRS) are based on the\textit {task-
adaptive pre-training (TAP)} approach, by first initializing their model with BERT~\cite {devlin …
adaptive pre-training (TAP)} approach, by first initializing their model with BERT~\cite {devlin …
Uni-encoder: A fast and accurate response selection paradigm for generation-based dialogue systems
Sample-and-rank is a key decoding strategy for modern generation-based dialogue
systems. It helps achieve diverse and high-quality responses by selecting an answer from a …
systems. It helps achieve diverse and high-quality responses by selecting an answer from a …
Leveraging extended chat history through sentence embedding in multi-turn dialogue toward increasing user engagement
Multi-turn dialogue is the major manifestation of a conversation. Compared with single-turn
dialogue, response selection is more complex as the context varies. We stress the …
dialogue, response selection is more complex as the context varies. We stress the …
BERT-BC: A Unified Alignment and Interaction Model over Hierarchical BERT for Response Selection
Recently, we have witnessed a significant performance boosting for dialogue response
selection task achieved by Cross-Encoder based models. However, such models directly …
selection task achieved by Cross-Encoder based models. However, such models directly …
A Contrastive Framework for Improving Multi-turn Response Selection
Y Yang, B Qin, H Chen, G Lan - 2022 4th International …, 2022 - ieeexplore.ieee.org
In retrieval-based dialogue systems, multi-round dialogue response selection is a major task
of research and has received a lot of attention from academia and industry. BERTbased …
of research and has received a lot of attention from academia and industry. BERTbased …