no code implementations • CCL 2021 • Wan Zhang, Chen Keming, Zhang Yujie, Xu Jinan, Chen Yufeng
“The predominant approach of visual question answering (VQA) relies on encoding the imageand question with a ”black box” neural encoder and decoding a single token into answers suchas ”yes” or ”no”.
no code implementations • CCL 2021 • Li Tianran, Yang Erguang, Zhang Yujie, Chen Yufeng, Xu Jinan
“Entity Linking (EL) refers to the task of linking entity mentions in the text to the correct entities inthe Knowledge Base (KB) in which entity embeddings play a vital and challenging role because of the subtle differences between entities.
no code implementations • CCL 2021 • Zhu Wenjing, Liu Jian, Xu Jinan, Chen Yufeng, Zhang Yujie
“Deep neural networks have achieved state-of-the-art performances on named entity recognition(NER) with sufficient training data while they perform poorly in low-resource scenarios due to data scarcity.
no code implementations • CCL 2022 • Li Chunyou, Di Hui, Huang Hui, Ouchi Kazushige, Chen Yufeng, Liu Jian, Xu Jinan
DR firstly introduces noise to the target side of parallel data, and the model is trained to detect and recover the introduced noise.
no code implementations • CCL 2022 • Wang Shuaibo, Di Hui, Huang Hui, Lai Siyu, Ouchi Kazushige, Chen Yufeng, Xu Jinan
“Multilingual pre-trained representations are not well-aligned by nature, which harms their performance on cross-lingual tasks.