Results 111 to 120 of about 719,762 (329)

ILiAD: An Interactive Corpus for Linguistic Annotated Data from Twitter Posts [PDF]

open access: yesarXiv
Social Media platforms have offered invaluable opportunities for linguistic research. The availability of up-to-date data, coming from any part in the world, and coming from natural contexts, has allowed researchers to study language in real time. One of the fields that has made great use of social media platforms is Corpus Linguistics.
arxiv  

Cholinergic Degeneration and Cognitive Function in Early GBA1‐Related Parkinson's Disease

open access: yesAnnals of Neurology, EarlyView.
Objective The phenotype of patients with Parkinson's disease carrying GBA1 variants (GBA‐PD) suggest similarities to symptomatology associated with early cholinergic system degeneration. Therefore, this study aims to investigate the clinical features and the cholinergic innervation pattern in patients with early GBA‐PD versus those without the GBA1 ...
Sofie Slingerland   +6 more
wiley   +1 more source

Detecting New Lesions Using a Large Language Model: Applications in Real‐World Multiple Sclerosis Datasets

open access: yesAnnals of Neurology, EarlyView.
Objective Neuroimaging is routinely utilized to identify new inflammatory activity in multiple sclerosis (MS). A large language model to classify narrative magnetic resonance imaging reports in the electronic health record (EHR) as discrete data could provide significant benefits for MS research. The objectives of the current study were to develop such
Shane Poole   +14 more
wiley   +1 more source

Interpretability of Language Models via Task Spaces [PDF]

open access: yesarXiv
The usual way to interpret language models (LMs) is to test their performance on different benchmarks and subsequently infer their internal processes. In this paper, we present an alternative approach, concentrating on the quality of LM processing, with a focus on their language abilities.
arxiv  

Advancing plant metabolic research by using large language models to expand databases and extract labeled data

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Recently, plant science has seen transformative advances in scalable data collection for sequence and chemical data. These large datasets, combined with machine learning, have demonstrated that conducting plant metabolic research on large scales yields remarkable insights.
Rachel Knapp   +2 more
wiley   +1 more source

Linguistic Knowledge Transfer Learning for Speech Enhancement [PDF]

open access: yesarXiv
Linguistic knowledge plays a crucial role in spoken language comprehension. It provides essential semantic and syntactic context for speech perception in noisy environments. However, most speech enhancement (SE) methods predominantly rely on acoustic features to learn the mapping relationship between noisy and clean speech, with limited exploration of ...
arxiv  

Statistical Literacy Among Applied Linguists and Second Language Acquisition Researchers

open access: yes, 2014
The importance of statistical knowledge in applied linguistics and second language acquisition (SLA) research has been emphasized in recent publications.
Aiken   +33 more
core   +1 more source

Bending performance changes during prolonged canine eruption in saber‐toothed carnivores: A case study of Smilodon fatalis

open access: yesThe Anatomical Record, EarlyView.
Abstract The canine of saber‐toothed predators represents one of the most specialized dental structures known. Hypotheses about the function of hypertrophied canines range from display and conspecific interaction, soft food processing, to active prey acquisition.
Z. Jack Tseng
wiley   +1 more source

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