This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data for the test relation labels.
Hi, sorry to bother you. I was confused about the unseen label in the test set used for synthetic Data generation in step 3 and consequently leveraged the synthetic Data to train the extractor in step 4. In this case, does it mean the model can see the label in the test data? Thanks!
Hi, sorry to bother you. I was confused about the unseen label in the test set used for synthetic Data generation in step 3 and consequently leveraged the synthetic Data to train the extractor in step 4. In this case, does it mean the model can see the label in the test data? Thanks!