Papers with soft matching module
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (2020.acl-main)
Copied to clipboard
| Challenge: | Named entity recognition (NER) is a fundamental information extraction task that focuses on extracting entities from a given text and classifying them using pre-defined categories. |
| Approach: | They propose to use “entity triggers” to facilitate label-efficient learning of NER models. |
| Outcome: | The proposed model is significantly more cost-effective than the traditional neural NER frameworks. |