Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1609/aaai.v33i01.33019855 | AAAI |
Field | DocType | Volume |
Active learning,Question answering,Computer science,Artificial intelligence,Mathematics education,Machine learning,Machine reading,Comprehension | Conference | 33 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yining Hong | 1 | 0 | 2.37 |
| Jialu Wang | 2 | 5 | 3.51 |
| Yuting Jia | 3 | 9 | 3.51 |
| Weinan Zhang | 4 | 1228 | 97.24 |
| Xinbing Wang | 5 | 2642 | 214.43 |