Question Answering
cdqa-suite/cdQA
⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
🔍 Search & Retrieval🧠 Natural Language Processing
PythonApache-2.0updated Apr 30, 2020
Code for the TriviaQA reading comprehension dataset
$ git clone https://github.com/mandarjoshi90/triviaqa.git⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
Persian (Farsi) Question Answering Dataset (+ Models)
Arabic Open Domain Question Answering System using Neural Reading Comprehension
Machine reading comprehension on clinical case reports
Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答(KBQA),基于文本的问答系统(TextQA),基于表格的问答系统(TableQA)、基于视觉的问答系统(VisualQA)和机器阅读理解(MRC)等,每类任务分别对学术界和工业界进行了相关总结。
Data from GitHub · snapshot Sep 24, 2026