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A Neural Entity Coreference Resolution Review
[article]
2019
arXiv
pre-print
Entity Coreference Resolution is the task of resolving all the mentions in a document that refer to the same real world entity and is considered as one of the most difficult tasks in natural language understanding. While in it is not an end task, it has been proved to improve downstream natural language processing tasks such as entity linking, machine translation, summarization and chatbots. We conducted a systematic a review of neural-based approached and provide a detailed appraisal of the
arXiv:1910.09329v1
fatcat:mmzwofjl2zajdkmarg2y52mfkm