Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Liang, Shuailong"'
Autor:
Wang, Jiahao1,2,3,4 (AUTHOR), Liang, Shuailong1,3,4 (AUTHOR), Chen, Sijie5 (AUTHOR), Ma, Tianliang1,3,4 (AUTHOR), Chen, Mingyu5 (AUTHOR), Niu, Chengcheng5 (AUTHOR), Leng, Yi1,3,4,6 (AUTHOR), Wang, Long1,3,4,7 (AUTHOR) dr_wanglong@csu.edu.cn
Publikováno v:
Journal of Nanobiotechnology. 6/20/2024, Vol. 22 Issue 1, p1-22. 22p.
Autor:
Chen, Sijie, Ma, Tianliang, Wang, Jiahao, Liang, Shuailong, Liao, Haiqin, Tan, Wanlin, Chen, Mingyu, Zhou, Xiaohui, Xu, Yan, Wang, Long, Niu, Chengcheng
Publikováno v:
In Biomaterials March 2024 305
Existing approaches to Dialogue State Tracking (DST) rely on turn level dialogue state annotations, which are expensive to acquire in large scale. In call centers, for tasks like managing bookings or subscriptions, the user goal can be associated wit
Externí odkaz:
http://arxiv.org/abs/2101.11958
In this paper, we present SemEval-2020 Task 4, Commonsense Validation and Explanation (ComVE), which includes three subtasks, aiming to evaluate whether a system can distinguish a natural language statement that makes sense to humans from one that do
Externí odkaz:
http://arxiv.org/abs/2007.00236
Publikováno v:
In Arthroscopy: The Journal of Arthroscopic and Related Surgery December 2023 39(12):2529-2546
Introducing common sense to natural language understanding systems has received increasing research attention. It remains a fundamental question on how to evaluate whether a system has a sense making capability. Existing benchmarks measures commonsen
Externí odkaz:
http://arxiv.org/abs/1906.00363
Blame games tend to follow major disruptions, be they financial crises, natural disasters or terrorist attacks. To study how the blame game evolves and shapes the dominant crisis narratives is of great significance, as sense-making processes can affe
Externí odkaz:
http://arxiv.org/abs/1904.10637
Autor:
Xie, Jie, Hu, Yihe, Li, Hui, Wang, Yinan, Fan, Xiaolei, Lu, Wei, Liao, Runzhi, Wang, Haoyi, Cheng, Yurui, Yang, Yute, Wang, Jiahao, Liang, Shuailong, Ma, Tianliang, Su, Weiping
Publikováno v:
In Acta Biomaterialia 1 April 2023 160:297-310
We investigate a lattice LSTM network for Chinese word segmentation (CWS) to utilize words or subwords. It integrates the character sequence features with all subsequences information matched from a lexicon. The matched subsequences serve as informat
Externí odkaz:
http://arxiv.org/abs/1810.12594
We investigate the design challenges of constructing effective and efficient neural sequence labeling systems, by reproducing twelve neural sequence labeling models, which include most of the state-of-the-art structures, and conduct a systematic mode
Externí odkaz:
http://arxiv.org/abs/1806.04470