Self-supervised QA from Facebook AI
The researchers from Facebook AI published a paper with the results of exploring the idea of unsupervised extractive question answering and the following training of the supervised question answering model. This approach achieves 56.41F1 on SQuAD2 dataset.
Original paper:
https://research.fb.com/wp-content/uploads/2019/07/Unsupervised-Question-Answering-by-Cloze-Translation.pdf?
Code for experiments:
https://github.com/facebookresearch/UnsupervisedQA
#NLP #BERT #FacebookAI #SelfSupervised
❇️ @AI_Python_EN
The researchers from Facebook AI published a paper with the results of exploring the idea of unsupervised extractive question answering and the following training of the supervised question answering model. This approach achieves 56.41F1 on SQuAD2 dataset.
Original paper:
https://research.fb.com/wp-content/uploads/2019/07/Unsupervised-Question-Answering-by-Cloze-Translation.pdf?
Code for experiments:
https://github.com/facebookresearch/UnsupervisedQA
#NLP #BERT #FacebookAI #SelfSupervised
❇️ @AI_Python_EN