Results 41 to 50 of about 258,068 (291)

Agree to Disagree: Improving Disagreement Detection with Dual GRUs

, 2017
This paper presents models for detecting agreement/disagreement in online discussions. In this work we show that by using a Siamese inspired architecture to encode the discussions, we no longer need to rely on hand-crafted features to exploit the meta ...
Duppada, Venkatesh, Hiray, Sushant
core   +1 more source

Data Augmentation for Low-Resource Neural Machine Translation [PDF]

, 2017
The quality of a Neural Machine Translation system depends substantially on the availability of sizable parallel corpora. For low-resource language pairs this is not the case, resulting in poor translation quality. Inspired by work in computer vision, we
Bisazza, Arianna, Fadaee, Marzieh, Monz, Christof   +2 more
core   +2 more sources

FDG‐PET Associations With Disease Severity and Outcomes in NMDA‐Receptor IgG Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Patients with N‐methyl‐D‐aspartate (NMDA) receptor‐immunoglobulin G (IgG) autoimmune encephalitis (NMDAR‐IgG AE) demonstrate occipital lobe hypometabolism on baseline brain fluorodeoxyglucose‐positron emission tomography (bFDG‐PET).
Jonathan K. Lee, Jeffrey Lambe, Scott Johnson, Akua Abrah, Jennifer Bullen, Jeffrey A. Cohen, Tatchaporn Ongphichetmetha, Amy Kunchok   +7 more
wiley   +1 more source

Crònica legislativa del País Valencià. Primer semestre de 2016

Revista de Llengua i Dret - Journal of Language and Law, 2016
El text recull les disposicions aparegudes al Diari Oficial de la Comunitat Valenciana en matèria de drets lingüístics durant el primer semestre de 2016.
Mercè Teodoro i Peris
doaj   +1 more source

What do Neural Machine Translation Models Learn about Morphology?

, 2017
Neural machine translation (MT) models obtain state-of-the-art performance while maintaining a simple, end-to-end architecture. However, little is known about what these models learn about source and target languages during the training process.
Belinkov, Yonatan, Dalvi, Fahim, Durrani, Nadir, Glass, James, Sajjad, Hassan   +4 more
core   +1 more source

Problematic Internet Use in Frontotemporal Dementia: A Case Series

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The present study investigated problematic internet use (PIU) among 61 patients with frontotemporal dementia (FTD) compared to a cohort of 354 patients with mild cognitive impairment (MCI) and Alzheimer's dementia. PIU was identified in 22.9% of FTD patients compared to only 0.8% of AD patients (p < 0.001). Behaviors included compulsive social
Daniele Urso, Giuseppe Volpe, Agnese Valguarnera, Davide Vilella, Alessandra Vitulli, Valentina Gnoni, Alessia Giugno, Eleonora Rollo, Mark D. Griffiths, Giancarlo Logroscino   +9 more
wiley   +1 more source

Race and Household Income are Associated with Disease Outcomes in Pediatric Patients with ANCA‐associated Vasculitis Hospitalized in the United States

Arthritis Care &Research, Accepted Article.
Objectives Race and household income impact outcomes in patients with rheumatic conditions; however, their role in pediatric anti‐neutrophil cytoplasmic antibody (ANCA)‐associated vasculitis (AAV) remains poorly understood. We aimed to evaluate whether race/ethnicity and household income are associated with severe AAV disease and renal outcomes among ...
Roberto Alejandro Valdovinos, William Daniel Soulsby III, Emily von Scheven   +2 more
wiley   +1 more source

Evaluative Language Beyond Bags of Words: Linguistic Insights and Computational Applications

Computational Linguistics, 2016
The study of evaluation, affect, and subjectivity is a multidisciplinary enterprise, including sociology, psychology, economics, linguistics, and computer science. A number of excellent computational linguistics and linguistic surveys of the field exist.
Farah Benamara, Maite Taboada, Yannick Mathieu   +2 more
doaj   +1 more source

The logic and linguistic model for automatic extraction of collocation similarity [PDF]

, 2015
The article discusses the process of automatic identification of collocation similarity. The semantic analysis is one of the most advanced as well as the most difficult NLP task.
Gautam, Ajit Pratap Singh, Khairova, N. F., Petrasova, S. V.   +2 more
core  

Respiratory Organ‐on‐a‐Chip for Disease Modeling: From Architecture to Functional Integration

Advanced Healthcare Materials, EarlyView.
Respiratory organ‐on‐a‐chip (ROC) models capture key mechanical and cellular cues of the human respiratory system, enabling quantitative dissection of disease mechanisms. This review links ROC architectures to disease modeling, functional integration, and commercialization, and proposes a decision framework that aligns model complexity with mechanistic
Jinzhuo Hu, Yongjie Tang, Sidi Liu, Tao Xu, Qian Liu   +4 more
wiley   +1 more source