Papers by Ekaterina Garmash
Connecting degree and polarity: An artificial language learning study (2023.emnlp-main)
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| Challenge: | Existing studies have shown that degree modifiers are related to sentence polarity, but they are not related to the grammatical number of an expression. |
| Approach: | They propose to generalize degree modifiers to their polarity sensitivity in pre-trained language models by applying the Artificial Language Learning experimental paradigm from psycholinguistics to a neural language model. |
| Outcome: | The proposed generalisations are consistent with existing linguistic observations that relate de-gree semantics to polarity sensitivity, including the main one: low degree semantics is associated with preference towards positive polarities. |