2 code implementations • EMNLP 2021 • Bin Liang, Hang Su, Rongdi Yin, Lin Gui, Min Yang, Qin Zhao, Xiaoqi Yu, Ruifeng Xu
To be specific, we first regard each aspect as a pivot to derive aspect-aware words that are highly related to the aspect from external affective commonsense knowledge.
no code implementations • EMNLP 2021 • Qianlong Wang, Zhiyuan Wen, Qin Zhao, Min Yang, Ruifeng Xu
In this paper, we use two means to alleviate the noise in the pseudo-labels.
no code implementations • 7 Aug 2023 • Shijue Huang, Bingbing Wang, Libo Qin, Qin Zhao, Ruifeng Xu
Few-shot and zero-shot entity linking focus on the tail and emerging entities, which are more challenging but closer to real-world scenarios.
no code implementations • LREC 2020 • Xiaochang Gong, Qin Zhao, Jun Zhang, Ruibin Mao, Ruifeng Xu
Thus, the detection and processing of sarcasm is important to social media analysis. However, most existing sarcasm dataset are in English and there is still a lack of authoritative Chinese sarcasm dataset.