For entities, relations or classification, input {"ent|rel|cls": ["type1", "type2"]} .
⏱️ {{ searchSecondsString }}
| Item | Predicted |
|---|---|
| {{ key }} | {{ value }} |
🪞Mirror can help you deal with a wide range of Natural Language Understanding and Information Extraction tasks.
🔍 Mechanism behind this demo: Mirror paper.
🌟 Star me on GitHub!
📢 This demo only supports English tasks. For Chinese Information Extraction tasks, please refer to this model: Spico/mirror-chinese-mrcqa-alpha.
For entities, relations or classification, input {"ent|rel|cls": ["type1", "type2"]} .
⏱️ {{ searchSecondsString }}
| Item | Predicted |
|---|---|
| {{ key }} | {{ value }} |