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