Papers with NER predictions
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission (2024.findings-naacl)
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| Challenge: | Named entity recognition tasks are often suboptimal for NER . previous work focused on UE-NER, which estimates uncertainty scores for ner . |
| Approach: | They propose to use a Sequential Labeling Posterior Network to estimate uncertainty for NER . they propose to consider wrong-span cases and to evaluate the specificity of wrong-pan cases. |
| Outcome: | The proposed system improves on three datasets and AUPR on MIT-Restaurant datasets. |
Large Sequence Representation Learning via Multi-Stage Latent Transformers (2022.coling-1)
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| Challenge: | a novel algorithm for named-entity recognition (NER) uses language and spatial features to predict entity tags for structured text . a dataset of 11,926 images depicting food product labels is used to perform NER tasks . |
| Approach: | They propose a multi-stage transformer architecture for named-entity recognition . they propose RADAR, an LSTM classifier operating at character level, to refine NER predictions . |
| Outcome: | The proposed method outperforms two competing models on a food label dataset. |