{"task":"Reading Comprehension","dataset":"CrowdSource QA","metric_names":["MSE"],"rows":[{"id":20824,"task":"Reading Comprehension","parent_task":null,"dataset":"CrowdSource QA","model_name":"BERT","metrics":{"MSE":"0.046"},"paper_url":"https://arxiv.org/abs/2002.10107v4","paper_title":"Predicting Subjective Features of Questions of QA Websites using BERT","paper_date":"2020-02-24","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/nlp"},{"title":"google-research/bert","url":"https://github.com/google-research/bert"},{"title":"graykode/nlp-tutorial","url":"https://github.com/graykode/nlp-tutorial"},{"title":"Moradnejad/Predicting-Subjective-Features-on-QA-Websites","url":"https://github.com/Moradnejad/Predicting-Subjective-Features-on-QA-Websites"}],"metrics_order":"[\"MSE\"]","area":"Natural Language Processing","uses_additional_data":0,"source":"archive","tags":[]}]}