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

Lu, Pengcheng, Poesio, Massimo

arXiv.org Artificial Intelligence 

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.

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