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pro vyhledávání: '"Seegmiller, A"'
Since the COVID-19 pandemic, clinicians have seen a large and sustained influx in patient portal messages, significantly contributing to clinician burnout. To the best of our knowledge, there are no large-scale public patient portal messages corpora
Externí odkaz:
http://arxiv.org/abs/2411.06549
Recent evaluations of cross-domain text classification models aim to measure the ability of a model to obtain domain-invariant performance in a target domain given labeled samples in a source domain. The primary strategy for this evaluation relies on
Externí odkaz:
http://arxiv.org/abs/2406.14695
Large language models (LLMs) have been shown to be proficient in correctly answering questions in the context of online discourse. However, the study of using LLMs to model human-like answers to fact-driven social media questions is still under-explo
Externí odkaz:
http://arxiv.org/abs/2404.01147
Large Language Models for Document-Level Event-Argument Data Augmentation for Challenging Role Types
Event Argument Extraction (EAE) is an extremely difficult information extraction problem -- with significant limitations in few-shot cross-domain (FSCD) settings. A common solution to FSCD modeling is data augmentation. Unfortunately, existing augmen
Externí odkaz:
http://arxiv.org/abs/2403.03304
Autor:
Seegmiller, Parker, Preum, Sarah Masud
The popularity of transformer-based text embeddings calls for better statistical tools for measuring distributions of such embeddings. One such tool would be a method for ranking texts within a corpus by centrality, i.e. assigning each text a number
Externí odkaz:
http://arxiv.org/abs/2310.15010
Amidst the sharp rise in the evaluation of large language models (LLMs) on various tasks, we find that semantic textual similarity (STS) has been under-explored. In this study, we show that STS can be cast as a text generation problem while maintaini
Externí odkaz:
http://arxiv.org/abs/2309.06541
Autor:
Ashwini K. Yenamandra, Rebecca B. Smith, Adam C. Seegmiller, Brianna N. Smith, Debra L. Friedman, Christine M. Smith
Publikováno v:
DNA, Vol 4, Iss 3, Pp 318-327 (2024)
Diffuse large B cell lymphoma, not otherwise specified (DLBCL, NOS) is the most common type of non-Hodgkin lymphoma (NHL). Significant efforts have been focused on utilizing advanced genomic technologies to further subclassify DLBCL, NOS into clinica
Externí odkaz:
https://doaj.org/article/d063c8b14ae9467abb03607aa4115a26
Autor:
Seegmiller, Parker, Gatto, Joseph, Basak, Madhusudan, Cook, Diane, Ghasemzadeh, Hassan, Stankovic, John, Preum, Sarah
Medications often impose temporal constraints on everyday patient activity. Violations of such medical temporal constraints (MTCs) lead to a lack of treatment adherence, in addition to poor health outcomes and increased healthcare expenses. These MTC
Externí odkaz:
http://arxiv.org/abs/2303.09366
Autor:
Seegmiller, Parker, Gatto, Joseph, Mamun, Abdullah, Ghasemzadeh, Hassan, Cook, Diane, Stankovic, John, Preum, Sarah Masud
Prescription medications often impose temporal constraints on regular health behaviors (RHBs) of patients, e.g., eating before taking medication. Violations of such medical temporal constraints (MTCs) can result in adverse effects. Detecting and pred
Externí odkaz:
http://arxiv.org/abs/2301.07051
Autor:
Gabriela Montenegro-Benthancourt, Hannah Glesener, Olga Torres, Emeline Seegmiller, Peter Rohloff, Lee E. Voth-Gaeddert
Publikováno v:
Journal of Agriculture and Food Research, Vol 18, Iss , Pp 101512- (2024)
Fungal toxins in local food supplies are a critical environmental health risk to communities globally. To better characterize hypothesized toxin control points among households, we conducted household surveys across four departments (first administra
Externí odkaz:
https://doaj.org/article/4f1618d71d464a31bdc73847251e06a5