Probing neural language models for understanding of words of estimative probability (2023.starsem-1)
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| Challenge: | Words of Estimative Probability (WEP) are phrases used to express the plausibility of a statement. |
| Approach: | They propose to use a UNLI dataset to assess language models' ability to process WEPs. |
| Outcome: | The proposed model can accurately capture the consensual probability level associated with each WEP. |
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| Challenge: | aggregating raw annotations to a single label is problematic due to disagreement among annotators. |
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Paolo Pedinotti, Giulia Rambelli, Emmanuele Chersoni, Enrico Santus, Alessandro Lenci, Philippe Blache
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| Challenge: | Abductive reasoning is inference to the best explanation given an incomplete set of observations about everyday situations. |
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