Zobrazeno 1 - 10
of 224
pro vyhledávání: '"Zhao Xuemin"'
Autor:
Tu Manshu, Zhao Xuemin
Publikováno v:
IEEE Access, Vol 7, Pp 50232-50239 (2019)
Cross domain sentiment classification (CDSC) aims to adopt a model trained by a source domain to a target domain. It has received considerable attention in recent years. Most existing models mainly focus on learning representations that are domain in
Externí odkaz:
https://doaj.org/article/26d5e416bf3540148a7f48628dce7426
Large language models(LLM) such as ChatGPT have substantially simplified the generation of marketing copy, yet producing content satisfying domain specific requirements, such as effectively engaging customers, remains a significant challenge. In this
Externí odkaz:
http://arxiv.org/abs/2402.13667
Publikováno v:
Jixie qiangdu, Vol 39, Pp 1158-1163 (2017)
In this paper,we study the rolling friction of the triangular tooth friction wheel and the flexible track under the condition of small deformation contact. According to the Crook ’s elastic plastic rolling friction theory,the flexible rail is estab
Externí odkaz:
https://doaj.org/article/18cb0c5efb9b4fad846031f673d5b574
Few-shot sequence labeling aims to identify novel classes based on only a few labeled samples. Existing methods solve the data scarcity problem mainly by designing token-level or span-level labeling models based on metric learning. However, these met
Externí odkaz:
http://arxiv.org/abs/2307.07946
Publikováno v:
37th Conference on AAAI 2023 Artificial Intelligence for Education(AI4Edu)
When students make a mistake in an exercise, they can consolidate it by ``similar exercises'' which have the same concepts, purposes and methods. Commonly, for a certain subject and study stage, the size of the exercise bank is in the range of millio
Externí odkaz:
http://arxiv.org/abs/2303.11163
Recently, more and more people study online for the convenience of access to massive learning materials (e.g. test questions/notes), thus accurately understanding learning materials became a crucial issue, which is essential for many educational appl
Externí odkaz:
http://arxiv.org/abs/2303.08039
Autor:
Meng, Haoran, Xin, Zheng, Liu, Tianyu, Wang, Zizhen, Feng, He, Lin, Binghuai, Zhao, Xuemin, Cao, Yunbo, Sui, Zhifang
While interacting with chatbots, users may elicit multiple intents in a single dialogue utterance. Instead of training a dedicated multi-intent detection model, we propose DialogUSR, a dialogue utterance splitting and reformulation task that first sp
Externí odkaz:
http://arxiv.org/abs/2210.11279
Publikováno v:
In Journal of Energy Storage 15 December 2024 104 Part A
Autor:
She, Xiaohui, Wang, Huiru, Zhang, Tongtong, Li, Yongliang, Zhao, Xuemin, Ding, Yulong, Wang, Chen
Publikováno v:
In Renewable and Sustainable Energy Reviews February 2025 208
Cognitive diagnosis, the goal of which is to obtain the proficiency level of students on specific knowledge concepts, is an fundamental task in smart educational systems. Previous works usually represent each student as a trainable knowledge proficie
Externí odkaz:
http://arxiv.org/abs/2111.08951