Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission

Understand

Sequential labeling is a task predicting labels for each token in a sequence, such as Named Entity Recognition (NER).

• NER tasks aim to extract entities and predict their labels given a text, which is important in information extraction.
• Although previous works have shown great progress in improving NER performance, uncertainty estimation on NER (UE-NER) is still underexplored but essential.
• This work focuses on UE-NER, which aims to estimate uncertainty scores for the NER predictions.