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 • 27 Apr 2022 • Guangxu Xun, Mingbo Ma, Yuchen Bian, Xingyu Cai, Jiaji Huang, Renjie Zheng, Junkun Chen, Jiahong Yuan, Kenneth Church, Liang Huang
In simultaneous translation (SimulMT), the most widely used strategy is the wait-k policy thanks to its simplicity and effectiveness in balancing translation quality and latency.
no code implementations • ICLR 2022 • Xingyu Cai, Jiahong Yuan, Yuchen Bian, Guangxu Xun, Jiaji Huang, Kenneth Church
Standard CTC computes a loss by aggregating over all possible alignment paths, that map the entire sequence to the entire label (full alignment).
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 1 Dec 2019 • Yiru Wang, Pengda Si, Zeyang Lei, Guangxu Xun, Yujiu Yang
The sequence-to-sequence (Seq2Seq) model generates target words iteratively given the previously observed words during decoding process, which results in the loss of the holistic semantics in the target response and the complete semantic relationship between responses and dialogue histories.
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.