Integrating knowledge bases to improve coreference and bridging resolution for the chemical domain

TL;DR

This paper presents a multi-task learning approach that integrates external chemical knowledge bases to enhance coreference and bridging resolution in chemical patents, improving understanding of chemical processes.

Contribution

It introduces a novel method combining external knowledge with multi-task learning for chemical coreference and bridging resolution, which was not previously explored.

Findings

External knowledge integration improves resolution accuracy

Multi-task learning benefits both coreference and bridging tasks

Enhanced understanding of chemical patents through better resolution

Abstract

Resolving coreference and bridging relations in chemical patents is important for better understanding the precise chemical process, where chemical domain knowledge is very critical. We proposed an approach incorporating external knowledge into a multi-task learning model for both coreference and bridging resolution in the chemical domain. The results show that integrating external knowledge can benefit both chemical coreference and bridging resolution.