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A PyTorch implementation of GraphRel
PyTorch implementation of the position-aware attention model for relation extraction
CNN-RNN中文文本分类,基于TensorFlow
使用bert/gpt2/albert/xlm/roberta等预训练语言模型在ace2005上进行事件抽取任务。 代码在nlpcl-lab / bert-event-extraction框架上修改,使用pytorch 的transformer和crf模型替换了原项目的模型构建部分。 模型整体采用序列标注的方式,未使用任何辅助信息。 先用crf做触发词识别,再根据触发词识别结果再用crf进行论元识别,预训练模型选用xlm-roberta-large时,trigger-f1=0.72; argument-f1=0.45。argument提升了0.05。
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
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