CrossRE: A Cross-Domain Dataset for Relation Extraction
Elisa Bassignana, Barbara Plank · 2022
Relation Extraction (RE) has attracted increasing attention, but current RE evaluation is limited to in-domain evaluation setups.Little is known on how well a RE system fares in challenging, but realistic out-of-distribution evaluation setups.To address this gap, we propose CROSSRE, a new, freely-available crossdomain benchmark for RE, which comprises six distinct text domains and includes multilabel annotations.An additional innovation is that we release meta-data collected during annotation, to include explanations and flags of difficult instances.We provide an empirical evaluation with a state-of-the-art model for relation classification.As the meta-data enables us to shed new light on the state-of-the-art model, we provide a comprehensive analysis on the impact of difficult cases and find correlations between model and human annotations.Overall, our empirical investigation highlights the difficulty of cross-domain RE.We release our dataset, to spur more research in this direction.1