Active learning and crowdsourcing: a survey of annotation optimization methods
High quality labeled corpora play a key role to elaborate machine learning systems. Generally, creating of such corpora requires human efforts. So, annotation process is expensive and time-consuming. Two approaches that optimize the annotation are active learning and crowdsourcing. Methods of active...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ivannikov Institute for System Programming of the Russian Academy of Sciences
2018-10-01
|
| Series: | Труды Института системного программирования РАН |
| Subjects: | |
| Online Access: | https://ispranproceedings.elpub.ru/jour/article/view/489 |