Prompt-Learning for Fine-Grained Entity Typing

intuitively bridges the objective form gap between pre-training and fine-tuning. Sufficient empirical analysis shows that, either for manually picking hand-crafted prompts (Liu et al.,2021b;Han et al., 2021b) or automatically building auto-generated prompts (Shin et al.,2020;Gao et al.,2020;Lester et al.,2021), taking prompts for tuning models is

  Bridge, Entity, Reading, Learning, Fine, Prompt, Typing, Prompt learning for fine grained entity typing