3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.CL2020
Performance Comparison of Crowdworkers and NLP Tools on Named-Entity Recognition and Sentiment Analysis of Political Tweets
Mona Jalal, Kate K. Mays, Lei Guo +1
We report results of a comparison of the accuracy of crowdworkers and seven Natural Language Processing (NLP) toolkits in solving two important NLP tasks, named-entity recognition…
cs.HC2019★ 3 cited
BUOCA: Budget-Optimized Crowd Worker Allocation
Mehrnoosh Sameki, Sha Lai, Kate K. Mays +3
Due to concerns about human error in crowdsourcing, it is standard practice to collect labels for the same data point from multiple internet workers. We here show that the resultin…