Oct 21, 2019 · This work aims to give a detailed review of current progress on solving Coreference Resolution using neural-based approaches. It also provides a ...
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Apr 15, 2021 · This work aims to give a detailed review of current progress on solving Coreference Resolution using neural-based approaches. It also provides a ...
Oct 21, 2019 · Entity Coreference Resolution is the task of resolving all mentions in a document that refer to the same real world entity and is considered as ...
This study proposes the first end-to-end neural network system for Persian pronoun resolution, leveraging pre-trained Transformer models like ParsBERT.
This work aims to give a detailed review of current progress on solving Coreference Resolution using neural-based approaches. It also provides a detailed ...
Oct 21, 2019 · Abstract:Entity Coreference Resolution is the task of resolving all the mentions in a document that refer to the same real world entity and is ...
Björkelund, A., & Kuhn, J. (2014). Learning structured perceptrons for coreference resolution with latent antecedents and non-local features. In Proceedings of ...
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This work reviews the current progress in solving Entity Coreference Resolution using neural-based approaches, evaluates datasets, evaluation metrics, ...
A Neural Entity Coreference Resolution Review ... We highlight the advantages and disadvantages of the approaches, the challenges of the task, the lack of agreed- ...
Entity. Coreference Resolution (ECR) is a task that groups entity mentions into sets of mentions that refer to the same real-world entities. An antecedent of a ...