3 citations · 4 across the 5 of their papers we have counts for
5 papers
Shapley Value-based Contrastive Alignment for Multimodal Information Extraction
Wen Luo, Yu Xia, Shen Tianshu +1
The rise of social media and the exponential growth of multimodal communication necessitates advanced techniques for Multimodal Information Extraction (MIE). However, existing meth…
Contrastive Bootstrapping for Label Refinement
Shudi Hou, Yu Xia, Muhao Chen +1
Traditional text classification typically categorizes texts into pre-defined coarse-grained classes, from which the produced models cannot handle the real-world scenario where fine…
DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction Dataset
Hongbo Wang, Weimin Xiong, Yifan Song +3
Joint entity and relation extraction (JERE) is one of the most important tasks in information extraction. However, most existing works focus on sentence-level coarse-grained JERE,…
Low Resource Style Transfer via Domain Adaptive Meta Learning
Xiangyang Li, Xiang Long, Yu Xia +1
Text style transfer (TST) without parallel data has achieved some practical success. However, most of the existing unsupervised text style transfer methods suffer from (i) requirin…
Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English
Xiangyang Li, Yu Xia, Xiang Long +2
In this paper, we describe our system for the AAAI 2021 shared task of COVID-19 Fake News Detection in English, where we achieved the 3rd position with the weighted F1 score of 0.9…