Web: http://arxiv.org/abs/2205.02490

May 6, 2022, 1:11 a.m. | Guozheng Li, Xu Chen, Peng Wang, Jiafeng Xie, Qiqing Luo

cs.LG updates on arXiv.org arxiv.org

Recent work for extracting relations from texts has achieved excellent
performance. However, most existing methods pay less attention to the
efficiency, making it still challenging to quickly extract relations from
massive or streaming text data in realistic scenarios. The main efficiency
bottleneck is that these methods use a Transformer-based pre-trained language
model for encoding, which heavily affects the training speed and inference
speed. To address this issue, we propose a fast relation extraction model
(FastRE) based on convolutional encoder and …

arxiv binary encoder extraction framework tagging

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