Name
Abstract | ||
|---|---|---|
We found that the increased information content of actively selected sentences is strongly offset by the increased time required to annotate them. Moreover, the annotation time was not considered in the querying algorithms. Our future work includes developing better AL algorithms with the estimation of annotation time and evaluating the system with larger number of users. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12911-017-0466-9 | BMC Med. Inf. & Decision Making |
Field | DocType | Volume |
Data mining,Active learning,Annotation,Information retrieval,Computer science,Health informatics,Named-entity recognition,Problem-based learning | Journal | 17 |
Issue | Citations | PageRank |
2 | 3 | 0.40 |
References | Authors | |
11 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yukun Chen | 1 | 259 | 13.09 |
| Thomas A. Lasko | 2 | 194 | 20.36 |
| Qiaozhu Mei | 3 | 4395 | 207.09 |
| Qingxia Chen | 4 | 15 | 3.70 |
| SungRim Moon | 5 | 67 | 10.73 |
| Jingqi Wang | 6 | 85 | 15.28 |
| Ky Nguyen | 7 | 3 | 0.40 |
| Tolulola Dawodu | 8 | 3 | 0.40 |
| Trevor Cohen | 9 | 579 | 53.11 |
| Joshua C. Denny | 10 | 932 | 97.43 |
| Hua Xu | 11 | 323 | 32.99 |