Improving Scientific Relation Classification with Task Specific Supersense

no code implementations • PACLIC 2018 • Qin Dai, Naoya Inoue, Paul Reisert, Kentaro Inui

Classification Relation +1

Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction

1 code implementation • 2 Nov 2022 • Qin Dai, Benjamin Heinzerling, Kentaro Inui

They either do not allow any sharing between the text encoder and the KG encoder at all, or, in case of models with KG-to-text attention, only share information in one direction.

Knowledge Graphs Relation +1

Two Training Strategies for Improving Relation Extraction over Universal Graph

1 code implementation • EACL 2021 • Qin Dai, Naoya Inoue, Ryo Takahashi, Kentaro Inui

This paper explores how the Distantly Supervised Relation Extraction (DS-RE) can benefit from the use of a Universal Graph (UG), the combination of a Knowledge Graph (KG) and a large-scale text collection.

Relation Relation Extraction +1

Distantly Supervised Biomedical Knowledge Acquisition via Knowledge Graph Based Attention

no code implementations • WS 2019 • Qin Dai, Naoya Inoue, Paul Reisert, Ryo Takahashi, Kentaro Inui

In this work, we firstly investigate the feasibility of this framework on scientific dataset, specifically on biomedical dataset.

Knowledge Graph Completion Relation +1