本质上GPT 2.0主要做的是：找更大数量的无监督训练数据，这个其实好办，反正是无监督的，网上有的...
The motivation for selecting this work is to provide a great relevance to find the answer, find answer to general knowledge type of question, find the answers for questions like Who? What? Where? How?, and Provide provide the shortest form of answer. The scope for the chosen work is to ...
Kwiatkowski, T., Palomaki, J., Rhinehart, O., Collins, M., Parikh, A., Alberti, C., Epstein, D., Polosukhin, I., Kelcey, M., Devlin, J., et al.Natural questions: a benchmark for question answering research. 2019. Lake, B. M., Ullman, T. D., Tenenbaum, J. B., and ...
Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon! - huggingface/swift-coreml-transformers
在翻译和摘要总结上比较拉胯，Summarization甚至比不过平平无奇的seq2seq+Attention；Question Answering就...
This is another example of pipeline used for that can extract question answers from some context: >>>fromtransformersimportpipeline# Allocate a pipeline for question-answering>>>question_answerer=pipeline('question-answering')>>>question_answerer({ ...'question':'What is the name of the reposito...
The MEGA model was evaluated and showed success on different tasks including synthetic news generation, and zero-shot question answering. For text generation, our best model achieves a perplexity of 29.8 on held-out Wikipedia articles. A study conducted with human evaluators showed the significant ...
or one of the eight BERT or three OpenAI GPT PyTorch model classes (to load the pre-trained weights): BertModel, BertForMaskedLM, BertForNextSentencePrediction, BertForPreTraining, BertForSequenceClassification, BertForTokenClassification, BertForMultipleChoice, BertForQuestionAnswering, OpenAIGPTModel...
Evaluation、Language proficiency exams、Classification and question answering 把这三章放一块了，又到了...
Disclaimer The contributors of this repository are not responsible for any generation from the 3rd party utilization of the pretrained systems proposed herein. 1. Question Answering Extractive question answering from a given question and context. DistilBERT model fine-tuned on SQuAD (Stanford Question...