Papers by Sara Court
LLMs in the Real World: Evaluating “AI” in Emergency Contexts (2026.findings-acl)
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| Challenge: | Despite considerable overlap between academic and industry-based developers of Large Language Models (LLMs), it seems Natural Language Processing researchers have a science outreach problem. |
| Approach: | They propose a set of concrete recommendations for stakeholders at every stage of the development and deployment pipeline. |
| Outcome: | The proposed model performs worse with lower-resourced languages or worse with higher-resource languages. |
Computational Modeling of Affixoid Behavior in Chinese Morphology (2020.coling-main)
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| Challenge: | affixoid behavior in Mandarin Chinese is unclear due to polysemy and diachronic dynamics. |
| Approach: | They propose to use three quantitative features to model affixoid behavior in Mandarin Chinese to determine its status. |
| Outcome: | The proposed model shows that there are no clear criteria that can be used to identify an affix’s status in an isolating language like Mandarin Chinese. |