Academic Reader: An Interactive Question Answering System on Academic Literatures


  • Yining Hong Shanghai JiaoTong University
  • Jialu Wang Shanghai JiaoTong University
  • Yuting Jia Shanghai JiaoTong University
  • Weinan Zhang Shanghai JiaoTong University
  • Xinbing Wang Shanghai JiaoTong University



We present Academic Reader, a system which can read academic literatures and answer the relevant questions for researchers. Academic Reader leverages machine reading comprehension technique, which has been successfully applied in many fields but has not been involved in academic literature reading. An interactive platform is established to demonstrate the functions of Academic Reader. Pieces of academic literature and relevant questions are input to our system, which then outputs answers. The system can also gather users’ revised answers and perform active learning to continuously improve its performance. A case study is provided presenting the performance of our system on all papers accepted in KDD 2018, which demonstrates how our system facilitates massive academic literature reading.




How to Cite

Hong, Y., Wang, J., Jia, Y., Zhang, W., & Wang, X. (2019). Academic Reader: An Interactive Question Answering System on Academic Literatures. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9855-9856.



Demonstration Track