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BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence
In summary, we present a novel Brownian bridge coherence metric capable of measuring both local and global text coherence, while circumventing the need for end-to-end model training.
Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts
We focus on confounding by provenance, a form of distribution shift that emerges in the context of multi-institutional datasets when there are differences in source-specific language use and class distributions.
Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes
Machine learning and deep learning approaches have been used to improve the performance of clinical NLP.
A Dialogue System for Assessing Activities of Daily Living: Improving Consistency with Grounded Knowledge
A lack of functioning may lead to poor living conditions requiring personal care and assistance.
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