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.
arXiv.org Artificial Intelligence
Apr-16-2024
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