Shuo Xu


MMDAG: Multimodal Directed Acyclic Graph Network for Emotion Recognition in Conversation
Shuo Xu | Yuxiang Jia | Changyong Niu | Hongying Zan
Proceedings of the Thirteenth Language Resources and Evaluation Conference

Emotion recognition in conversation is important for an empathetic dialogue system to understand the user’s emotion and then generate appropriate emotional responses. However, most previous researches focus on modeling conversational contexts primarily based on the textual modality or simply utilizing multimodal information through feature concatenation. In order to exploit multimodal information and contextual information more effectively, we propose a multimodal directed acyclic graph (MMDAG) network by injecting information flows inside modality and across modalities into the DAG architecture. Experiments on IEMOCAP and MELD show that our model outperforms other state-of-the-art models. Comparative studies validate the effectiveness of the proposed modality fusion method.


融入篇章信息的文学作品命名实体识别(Document-level Literary Named Entity Recognition)
Yuxiang Jia (贾玉祥) | Rui Chao (晁睿) | Hongying Zan (昝红英) | Huayi Dou (窦华溢) | Shuai Cao (曹帅) | Shuo Xu (徐硕)
Proceedings of the 20th Chinese National Conference on Computational Linguistics