Although recent neural models for coreference resolution have led to substantial improvements on benchmark datasets, it remains a challenge to successfully transfer these …
All state-of-the-art coreference resolution (CR) models involve finetuning a pretrained language model. Whether the superior performance of one CR model over another is due to …
A Zeldes - arXiv preprint arXiv:2112.09742, 2021 - arxiv.org
Current work on automatic coreference resolution has focused on the OntoNotes benchmark dataset, due to both its size and consistency. However many aspects of the OntoNotes …
Although recent neural models for coreference resolution have led to substantial improvements on benchmark datasets, transferring these models to new target domains …
Coreference, as an important component of Natural Language Understanding, is a linguistic phenomenon in which two or more expressions within a text refer to the same entity. This …
This thesis explores the variation in coreference patterns across language modes (ie, spoken and written) and text genres. The significance of research on variation in language …