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.

翻译：在化学专利中消解指代与桥接关系对精确理解化学过程至关重要，其中化学领域知识尤为关键。我们提出一种将外部知识融入多任务学习模型的方法，用于化学领域的指代与桥接消解。实验结果表明，整合外部知识能同时提升化学指代与桥接消解的性能。