3 code implementations • Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2022 • Guangxu Xun, Kishlay Jha, Jianhui Sun, Aidong Zhang
This paper develops the Correlation Networks (CorNet) architecture for the extreme multi-label text classification (XMTC) task, where the objective is to tag an input text sequence with the most relevant subset of labels from an extremely large label set.
Multi Label Text Classification Multi-Label Text Classification +2
no code implementations • 22 Jun 2021 • Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao
The experimental results show our proposed MetaFEND model can detect fake news on never-seen events effectively and outperform the state-of-the-art methods.
no code implementations • 20 Feb 2021 • Kishlay Jha
This is problematic, as it might lead to poor representation for words with insufficient local context such as domain specific words.
1 code implementation • Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2018 • Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao
One of the unique challenges for fake news detection on social media is how to identify fake news on newly emerged events.