Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zhou, Qianrui"'
Autor:
Zhang, Hanlei, Wang, Xin, Xu, Hua, Zhou, Qianrui, Gao, Kai, Su, Jianhua, Zhao, jinyue, Li, Wenrui, Chen, Yanting
Multimodal intent recognition poses significant challenges, requiring the incorporation of non-verbal modalities from real-world contexts to enhance the comprehension of human intentions. Existing benchmark datasets are limited in scale and suffer fr
Externí odkaz:
http://arxiv.org/abs/2403.10943
Multimodal intent recognition aims to leverage diverse modalities such as expressions, body movements and tone of speech to comprehend user's intent, constituting a critical task for understanding human language and behavior in real-world multimodal
Externí odkaz:
http://arxiv.org/abs/2312.14667
Multimodal intent recognition is a significant task for understanding human language in real-world multimodal scenes. Most existing intent recognition methods have limitations in leveraging the multimodal information due to the restrictions of the be
Externí odkaz:
http://arxiv.org/abs/2209.04355
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing 2023
Open intent detection is a significant problem in natural language understanding, which aims to identify the unseen open intent while ensuring known intent identification performance. However, current methods face two major challenges. Firstly, they
Externí odkaz:
http://arxiv.org/abs/2203.05823
Autor:
Zeng, Guoyang, Qi, Fanchao, Zhou, Qianrui, Zhang, Tingji, Ma, Zixian, Hou, Bairu, Zang, Yuan, Liu, Zhiyuan, Sun, Maosong
Textual adversarial attacking has received wide and increasing attention in recent years. Various attack models have been proposed, which are enormously distinct and implemented with different programming frameworks and settings. These facts hinder q
Externí odkaz:
http://arxiv.org/abs/2009.09191
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.