Aggregating and Predicting Sequence Labels from Crowd Annotations
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Association for Computational Linguistics
Cited by 30 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. Towards precise PICO extraction from abstracts of randomized controlled trials using a section-specific learning approach;Bioinformatics;2023-09-01
2. Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04
3. Soft labelling based on triangular distributions for ordinal classification;Information Fusion;2023-05
4. Learning from Noisy Crowd Labels with Logics;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04
5. Neural architectures for aggregating sequence labels from multiple annotators;Neurocomputing;2022-12
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