Exploring BERT’s Sensitivity to Lexical Cues using Tests from Semantic Priming (2020.findings-emnlp)
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| Challenge: | Using English lexical stimuli, we find that BERT models show "priming" predicting a word with greater probability when the context includes a related word versus an unrelated one. |
| Approach: | They analyze a pre-trained BERT model with tests informed by semantic priming . they find that BERT too shows "priming" predicting a word with greater probability when context includes a related word versus an unrelated one. |
| Outcome: | The proposed model shows a tendency to be distracted by related prime words as context becomes more informative, and lower probability of related words. |
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