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NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension. (arXiv:2205.05904v1 [cs.LG])
Web: http://arxiv.org/abs/2205.05904
May 13, 2022, 1:11 a.m. | Anubhav Shrimal, Avi Jain, Kartik Mehta, Promod Yenigalla
cs.LG updates on arXiv.org arxiv.org
NER has been traditionally formulated as a sequence labeling task. However,
there has been recent trend in posing NER as a machine reading comprehension
task (Wang et al., 2020; Mengge et al., 2020), where entity name (or other
information) is considered as a question, text as the context and entity value
in text as answer snippet. These works consider MRC based on a single question
(entity) at a time. We propose posing NER as a multi-question MRC task, where
multiple …
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