Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve

AbstractNamed entity recognition systems achieve remarkable performance on domains such as English news. It is natural to ask: What are these models actually learning to achieve this? Are they merely memorizing the names themselves? Or are they capable of interpreting the text and in...

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Bibliographic Details
Main Authors: Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova
Format: Article
Language:English
Published: The MIT Press 2021-03-01
Series:Computational Linguistics
Online Access:https://direct.mit.edu/coli/article/47/1/117/97335/Interpretability-Analysis-for-Named-Entity