论文标题
框架移动预测
Frame Shift Prediction
论文作者
论文摘要
框架移位是翻译中的一种跨语言现象，它导致相应的语言材料唤起不同的框架。预测框架变化的能力可以通过注释投影自动创建多语言帧。在这里，我们提出了框架移动预测任务，并证明了图形注意力网络与辅助训练相结合，可以学习跨语言框架到框架对应关系并预测框架变化。
Frame shift is a cross-linguistic phenomenon in translation which results in corresponding pairs of linguistic material evoking different frames. The ability to predict frame shifts enables automatic creation of multilingual FrameNets through annotation projection. Here, we propose the Frame Shift Prediction task and demonstrate that graph attention networks, combined with auxiliary training, can learn cross-linguistic frame-to-frame correspondence and predict frame shifts.
