Apr 20, 2020 · We propose a knowledge-enriched emotional conversation generation model (KE-EGM) that can ensure high quality content and focus on the impact of emotional ...

Oct 11, 2023 · We propose a novel knowledge-enhanced Memory mODEl for emotional suppoRt coNversation (MODERN). Specifically, we first devise a knowledge-enriched dialogue ...

A Knowledge-Enriched Model for Emotional Conversation Generation. Ao Zhang, Shizhan Chen, Xiaowang Zhang, Rui Li, Xinzhi Zhang. Anthology ID: DBLP:conf/www ...

For the first time, we apply the Transformer to analyze conversations and detect emotions. Our hierarchical self-attention and cross- attention modules allow ...

Apr 28, 2022 · The authors propose a knowledge-enriched joint-learning model of implicit emotion recognition and implicit emotion cause extraction tasks (KJ-IECE),

In this paper, we address these challenges by proposing a Knowledge-Enriched Transformer (KET), where contextual utterances are interpreted using hierarchical ...

To overcome these challenges, as shown in Figure 2, we introduce a novel knowledge-enhanced Memory mODEl for emotional suppoRt coNversation, dubbed MODERN. In ...

Emotion recognition in conversation (ERC) is a task that is beneficial to a wide range of natural language process- ing (NLP) research domains, such as dialogue ...

A Knowledge-Enriched Model for Emotional Conversation Generation. In Proceedings of WWW 2020. [short paper]; Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu ...

Sep 14, 2022 · We present a new dialogue generation model, Automatically predicting emotion based dynamic multi-form knowledge fusion Conversation Generation (Apeak-CG).