| Title |
Tackling representation, annotation and classification challenges for temporal knowledge base population
|
|---|---|
| Published in |
Knowledge and Information Systems, August 2013
|
| DOI | 10.1007/s10115-013-0675-1 |
| Authors |
Heng Ji, Taylor Cassidy, Qi Li, Suzanne Tamang |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Netherlands | 1 | 3% |
| Unknown | 33 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 20% |
| Student > Master | 6 | 17% |
| Student > Bachelor | 5 | 14% |
| Researcher | 4 | 11% |
| Student > Doctoral Student | 3 | 9% |
| Other | 5 | 14% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 60% |
| Psychology | 2 | 6% |
| Social Sciences | 2 | 6% |
| Mathematics | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 23% |