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.
Abstract (translated)
解决指称关系和桥接关系在化学专利中的问题对于更好地理解精确的化学过程非常重要。我们提出了一个将外部知识集成到多任务学习模型中的方法,用于在化学领域中解决指称关系和桥接关系。结果显示,将外部知识集成到模型中可以有益于化学指称和桥接关系的解决。
URL
https://arxiv.org/abs/2404.10696