Zobrazeno 1 - 10
of 5 141
pro vyhledávání: '"Cai, Ming"'
Autor:
Cai, Ming, Hara, Hisayuki
Several causal discovery algorithms have been proposed. However, when the sample size is small relative to the number of variables, the accuracy of estimating causal graphs using existing methods decreases. And some methods are not feasible when the
Externí odkaz:
http://arxiv.org/abs/2403.14125
Confusing charge prediction is a challenging task in legal AI, which involves predicting confusing charges based on fact descriptions. While existing charge prediction methods have shown impressive performance, they face significant challenges when d
Externí odkaz:
http://arxiv.org/abs/2403.04369
Court View Generation (CVG) is a challenging task in the field of Legal Artificial Intelligence (LegalAI), which aims to generate court views based on the plaintiff claims and the fact descriptions. While Pretrained Language Models (PLMs) have showca
Externí odkaz:
http://arxiv.org/abs/2403.04366
As part of human core knowledge, the representation of objects is the building block of mental representation that supports high-level concepts and symbolic reasoning. While humans develop the ability of perceiving objects situated in 3D environments
Externí odkaz:
http://arxiv.org/abs/2403.03730
Enhancing Language Representation with Constructional Information for Natural Language Understanding
Natural language understanding (NLU) is an essential branch of natural language processing, which relies on representations generated by pre-trained language models (PLMs). However, PLMs primarily focus on acquiring lexico-semantic information, while
Externí odkaz:
http://arxiv.org/abs/2306.02819
Assessing advancements of technology is essential for creating science and technology policies and making informed investments in the technology market. However, current methods primarily focus on the characteristics of the technologies themselves, m
Externí odkaz:
http://arxiv.org/abs/2305.05367
Grammatical Error Correction (GEC) has been broadly applied in automatic correction and proofreading system recently. However, it is still immature in Chinese GEC due to limited high-quality data from native speakers in terms of category and scale. I
Externí odkaz:
http://arxiv.org/abs/2210.12364
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 11, Pp 1-13 (2023)
Aerogel/fiber composites have shown a wide range of applications in aerospace, defence, environmental management and biomedicine due to their high porosity, low bulk density, high specific surface area and low thermal conductivity.The thermal and mec
Externí odkaz:
https://doaj.org/article/c0ab82ce82aa403b9ce577bed44e2b54
Aspect-level sentiment analysis aims to determine the sentiment polarity towards a specific target in a sentence. The main challenge of this task is to effectively model the relation between targets and sentiments so as to filter out noisy opinion wo
Externí odkaz:
http://arxiv.org/abs/2204.12784
Autor:
Alemanno, Francesca, An, Qi, Azzarello, Philipp, Barbato, Felicia Carla Tiziana, Bernardini, Paolo, Bi, Xiao-Jun, Cai, Ming-Sheng, Casilli, Elisabetta, Catanzani, Enrico, Chang, Jin, Chen, Deng-Yi, Chen, Jun-Ling, Chen, Zhan-Fang, Cui, Ming-Yang, Cui, Tian-Shu, Cui, Yu-Xing, Dai, Hao-Ting, De Benedittis, Antonio, De Mitri, Ivan, de Palma, Francesco, Deliyergiyev, Maksym, Di Santo, Margherita, Ding, Qi, Dong, Tie-Kuang, Dong, Zhen-Xing, Donvito, Giacinto, Droz, David, Duan, Jing-Lai, Duan, Kai-Kai, D'Urso, Domenico, Fan, Rui-Rui, Fan, Yi-Zhong, Fang, Fang, Fang, Kun, Feng, Chang-Qing, Feng, Lei, Fusco, Piergiorgio, Gao, Min, Gargano, Fabio, Gong, Ke, Gong, Yi-Zhong, Guo, Dong-Ya, Guo, Jian-Hua, Han, Shuang-Xue, Hu, Yi-Ming, Huang, Guang-Shun, Huang, Xiao-Yuan, Huang, Yong-Yi, Ionica, Maria, Jiang, Wei, Kong, Jie, Kotenko, Andrii, Kyratzis, Dimitrios, Lei, Shi-Jun, Li, Shang, Li, Wen-Hao, Li, Wei-Liang, Li, Xiang, Li, Xian-Qiang, Liang, Yao-Ming, Liu, Cheng-Ming, Liu, Hao, Liu, Jie, Liu, Shu-Bin, Liu, Yang, Loparco, Francesco, Luo, Chuan-Ning, Ma, Miao, Ma, Peng-Xiong, Ma, Tao, Ma, Xiao-Yong, Marsella, Giovanni, Mazziotta, Mario Nicola, Mo, Dan, Mu, Maria, Niu, Xiao-Yang, Pan, Xu, Parenti, Andrea, Peng, Wen-Xi, Peng, Xiao-Yan, Perrina, Chiara, Qiao, Rui, Rao, Jia-Ning, Ruina, Arshia, Shangguan, Zhi, Shen, Wei-Hua, Shen, Zhao-Qiang, Shen, Zhong-Tao, Silveri, Leandro, Song, Jing-Xing, Stolpovskiy, Mikhail, Su, Hong, Su, Meng, Sun, Hao-Ran, Sun, Zhi-Yu, Surdo, Antonio, Teng, Xue-Jian, Tykhonov, Andrii, Wang, Jin-Zhou, Wang, Lian-Guo, Wang, Shen, Wang, Shu-Xin, Wang, Xiao-Lian, Wang, Ying, Wang, Yan-Fang, Wang, Yuan-Zhu, Wei, Da-Ming, Wei, Jia-Ju, Wei, Yi-Feng, Wu, Di, Wu, Jian, Wu, Li-Bo, Wu, Sha-Sha, Wu, Xin, Xia, Zi-Qing, Xu, En-Heng, Xu, Hai-Tao, Xu, Zhi-Hui, Xu, Zun-Lei, Xu, Zi-Zong, Xue, Guo-Feng, Yang, Hai-Bo, Yang, Peng, Yang, Ya-Qing, Yao, Hui-Jun, Yu, Yu-Hong, Yuan, Guan-Wen, Yuan, Qiang, Yue, Chuan, Zang, Jing-Jing, Zhang, Sheng-Xia, Zhang, Wen-Zhang, Zhang, Yan, Zhang, Yi, Zhang, Yong-Jie, Zhang, Yun-Long, Zhang, Ya-Peng, Zhang, Yong-Qiang, Zhang, Zhe, Zhang, Zhi-Yong, Zhao, Cong, Zhao, Hong-Yun, Zhao, Xun-Feng, Zhou, Chang-Yi, Zhu, Yan, Liang, Yun-Feng
Publikováno v:
Science Bulletin, Volume 67, Issue 7, 15 April 2022, Pages 679-684
The DArk Matter Particle Explorer (DAMPE) is well suitable for searching for monochromatic and sharp $\gamma$-ray structures in the GeV$-$TeV range thanks to its unprecedented high energy resolution. In this work, we search for $\gamma$-ray line stru
Externí odkaz:
http://arxiv.org/abs/2112.08860