Papers by David Q. Sun
Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution (2020.coling-main)
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| Challenge: | a scalable method for estimating the noisiness of labels produced by crowdsourcing annotation tasks is developed. |
| Approach: | They propose a scalable method for estimating the noisiness of labels produced by crowdsourcing semantic annotation tasks and reducing the resulting error by 20-30%. |
| Outcome: | The proposed method reduces the error of the labeling process by 20-30% compared to other common labeling strategies. |