遇见数据集

We evaluate the BiLSTM-CRF pre-trained on SemMed1M on S800 with 250 labeled sentences and BC2GM with 1000 labeled sentences using different confidence thresholds for self-training.

收藏
Figshare2021-02-09 更新2026-04-28 收录
官方服务:

资源简介:

We report exact precision, recall, and F1 score as well as the number of self-training iterations run before no more samples from the unlabeled set meet the confidence threshold.

创建时间:
2021-02-09
二维码
社区交流群
二维码
科研交流群
商业服务