Papers with partial annotation
Reinforcement-based denoising of distantly supervised NER with partial annotation (D19-61)
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| Challenge: | Existing named entity recognition systems rely on large amounts of human-labeled data for supervision, but the result is noisy. |
| Approach: | They propose to use partial annotation to address false negative cases and implement a reinforcement learning strategy to identify false positive instances. |
| Outcome: | The proposed model reduces the amount of manually annotated data required to perform NER in a new domain. |
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training (2023.findings-emnlp)
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| Challenge: | Structured prediction is a fundamental problem in NLP, wherein the label space consists of complex structured outputs with groups of interdependent variables. |
| Approach: | They propose a partial annotation approach that selects only the most informative sub-structures for annotation and a method that incorporates the current model's automatic predictions as pseudo-labels for un-annotated sub-structurals. |
| Outcome: | The proposed approach reduces annotation cost over strong full annotation baselines under a fair comparison scheme that takes reading time into consideration. |