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cs.CL2025
KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue Corpus
Xiaoming Shi, Zeming Liu, Yiming Lei +8
Video-based dialogue systems, such as education assistants, have compelling application value, thereby garnering growing interest. However, the current video-based dialogue systems…
cs.CL2024★ 1 cited
2M-NER: Contrastive Learning for Multilingual and Multimodal NER with Language and Modal Fusion
Dongsheng Wang, Xiaoqin Feng, Zeming Liu +1
Named entity recognition (NER) is a fundamental task in natural language processing that involves identifying and classifying entities in sentences into pre-defined types. It plays…
cs.CL2023★ 1 cited
MidMed: Towards Mixed-Type Dialogues for Medical Consultation
Xiaoming Shi, Zeming Liu, Chuan Wang +4
Most medical dialogue systems assume that patients have clear goals (medicine querying, surgical operation querying, etc.) before medical consultation. However, in many real scenar…