Papers by Judith Degen
Harnessing the linguistic signal to predict scalar inferences (2020.acl-main)
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| Challenge: | Recent Bayesian game-theoretic models of pragmatic reasoning can predict the strength of scalar inferences by using linguistic features. |
| Approach: | They propose to use a sentence encoder to predict the strength of scalar inferences by using a corpus of linguistic data. |
| Outcome: | The proposed model infers previously established associations between linguistic features and inference strength, suggesting that it learns to use linguistic feature to predict pragmatic inferences. |
Expectations over Unspoken Alternatives Predict Pragmatic Inferences (2023.tacl-1)
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| Challenge: | Scalar inferences (SI) are a signature example of how humans interpret language based on unspoken alternatives. |
| Approach: | They propose to use context-driven expectations to explain scale-based inferences . they find that expectedness of a strong scalemate captures SI rates within and across scales - but only under meaning-based view of alternatives. |
| Outcome: | The proposed model captures SI rates by expectedness of a strong scalemate as an alternative, but only under a meaning-based view of alternatives. |