Modeling and Aggregation of Complex Annotations via Annotation Distances

Author:

Braylan Alexander1,Lease Matthew1

Affiliation:

1. The University of Texas at Austin

Publisher

ACM

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Label Selection Approach to Learning from Crowds;Transactions of the Japanese Society for Artificial Intelligence;2024-09-01

2. Label Selection Approach to Learning from Crowds;Communications in Computer and Information Science;2023-11-26

3. HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale;Proceedings of the ACM Web Conference 2023;2023-04-30

4. Reliance and Automation for Human-AI Collaborative Data Labeling Conflict Resolution;Proceedings of the ACM on Human-Computer Interaction;2022-11-07

5. An error consistency based approach to answer aggregation in open-ended crowdsourcing;Information Sciences;2022-08

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