Span Model for Open Information Extraction on Accurate Corpus

Understand

Open information extraction (Open IE) is a challenging task especially due to its brittle data basis.

• Most of Open IE systems have to be trained on automatically built corpus and evaluated on inaccurate test set.
• In this work, we first alleviate this difficulty from both sides of training and test sets.
• For the former, we propose an improved model design to more sufficiently exploit training dataset.