Frank Rudzicz

Isolating effects of age with fair representation learning when assessing dementia

2018

One of the most prevalent symptoms among the elderly population, dementia, can be detected by classifiers trained on linguistic features extracted from narrative transcripts. However, these linguistic features are impacted in a similar but different …

Word class flexibility: A deep contextualized approach

2020 · arXiv (Cornell University)

Word class flexibility refers to the phenomenon whereby a single word form is used across different grammatical categories. Extensive work in linguistic typology has sought to characterize word class flexibility across languages, but quantifying this …

Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP

2020 · arXiv (Cornell University)

Clinical machine learning is increasingly multimodal, collected in both structured tabular formats and unstructured forms such as freetext. We propose a novel task of exploring fairness on a multimodal clinical dataset, adopting equalized odds for …

OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization

2022 · arXiv (Cornell University)

The ability to generalize out-of-domain (OOD) is an important goal for deep neural network development, and researchers have proposed many high-performing OOD generalization methods from various foundations. While many OOD algorithms perform well in various …

Neural reality of argument structure constructions

2022 · arXiv (Cornell University)

In lexicalist linguistic theories, argument structure is assumed to be predictable from the meaning of verbs. As a result, the verb is the primary determinant of the meaning of a clause. In contrast, construction grammarians …

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support

2022

Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhorn, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja Kalaiselvi Bhaskar. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: …

A State-Vector Framework for Dataset Effects

2023 · arXiv (Cornell University)

The impressive success of recent deep neural network (DNN)-based systems is significantly influenced by the high-quality datasets used in training. However, the effects of the datasets, especially how they interact with each other, remain underexplored. …