8 citations · 14 across the 13 of their papers we have counts for
5 papers · 1 filter
Deep Learning Approaches for Multimodal Intent Recognition: A Survey
Jingwei Zhao, Yuhua Wen, Qifei Li +8
Intent recognition aims to identify users' underlying intentions, traditionally focusing on text in natural language processing. With growing demands for natural human-computer int…
CONCSS: Contrastive-based Context Comprehension for Dialogue-appropriate Prosody in Conversational Speech Synthesis
Yayue Deng, Jinlong Xue, Yukang Jia +6
Conversational speech synthesis (CSS) incorporates historical dialogue as supplementary information with the aim of generating speech that has dialogue-appropriate prosody. While p…
Learning to Predict Persona Information forDialogue Personalization without Explicit Persona Description
Wangchunshu Zhou, Qifei Li, Chenle Li
Personalizing dialogue agents is important for dialogue systems to generate more specific, consistent, and engaging responses. However, most current dialogue personalization approa…
Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training
Wangchunshu Zhou, Qifei Li, Chenle Li
In this paper, we propose Inverse Adversarial Training (IAT) algorithm for training neural dialogue systems to avoid generic responses and model dialogue history better. In contras…
Connecting the Dots Between Fact Verification and Fake News Detection
Qifei Li, Wangchunshu Zhou
Fact verification models have enjoyed a fast advancement in the last two years with the development of pre-trained language models like BERT and the release of large scale datasets…