Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Emmery, P"'
Native Language Identification (NLI) intends to classify an author's native language based on their writing in another language. Historically, the task has heavily relied on time-consuming linguistic feature engineering, and transformer-based NLI mod
Externí odkaz:
http://arxiv.org/abs/2309.06923
Autor:
Mark Cannon, Ryan Toma, Sri Ganeshan, Emmery de Jesus Alvarez Varela, Momchilo Vuyisich, Guruduth Banavar
Publikováno v:
NeuroSci, Vol 5, Iss 3, Pp 276-290 (2024)
Autism rates have been reported to be increasing rapidly in industrialized societies. The pathology most often combines neurological symptoms associated with language and social impairments with gastrointestinal symptoms. This study aimed to measure
Externí odkaz:
https://doaj.org/article/b26c779e8965449dbbc8b798079dfc5a
Autor:
Sharami, Javad Pourmostafa Roshan, Shterionov, Dimitar, Blain, Frédéric, Vanmassenhove, Eva, De Sisto, Mirella, Emmery, Chris, Spronck, Pieter
While quality estimation (QE) can play an important role in the translation process, its effectiveness relies on the availability and quality of training data. For QE in particular, high-quality labeled data is often lacking due to the high cost and
Externí odkaz:
http://arxiv.org/abs/2304.08891
Autor:
Badr Sokrat, Anthony H. Nguyen, Alex R. B. Thomsen, Li-Yin Huang, Hiroyuki Kobayashi, Alem W. Kahsai, Jihee Kim, Bing X. Ho, Symon Ma, John Little, Catherine Ehrhart, Ian Pyne, Emmery Hammond, Michel Bouvier
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Classically, G protein-coupled receptors (GPCRs) promote signaling at the plasma membrane through activation of heterotrimeric Gαβγ proteins, followed by the recruitment of GPCR kinases and βarrestin (βarr) to initiate receptor desensit
Externí odkaz:
https://doaj.org/article/5849f72408344b829ffc02844067159b
Autor:
Emmery, Chris
This dissertation proposes a framework of user-centered security in Natural Language Processing (NLP), and demonstrates how it can improve the accessibility of related research. Accordingly, it focuses on two security domains within NLP with great pu
Externí odkaz:
http://arxiv.org/abs/2301.04230
Autor:
van der Lee, Chris, Ferreira, Thiago Castro, Emmery, Chris, Wiltshire, Travis, Krahmer, Emiel
This study discusses the effect of semi-supervised learning in combination with pretrained language models for data-to-text generation. It is not known whether semi-supervised learning is still helpful when a large-scale language model is also supple
Externí odkaz:
http://arxiv.org/abs/2207.06839
Publikováno v:
JMIR Serious Games, Vol 12, Pp e47513-e47513 (2024)
Abstract BackgroundAdolescent mental health is of utmost importance. E-mental health interventions, and serious games in particular, are appealing to adolescents and can have beneficial effects on their mental health. A serious game aimed at improvi
Externí odkaz:
https://doaj.org/article/106f5eab476143a88e19a9a46caece36
A limited amount of studies investigates the role of model-agnostic adversarial behavior in toxic content classification. As toxicity classifiers predominantly rely on lexical cues, (deliberately) creative and evolving language-use can be detrimental
Externí odkaz:
http://arxiv.org/abs/2201.06384
Recent years have seen an increasing need for gender-neutral and inclusive language. Within the field of NLP, there are various mono- and bilingual use cases where gender inclusive language is appropriate, if not preferred due to ambiguity or uncerta
Externí odkaz:
http://arxiv.org/abs/2109.06105
Written language contains stylistic cues that can be exploited to automatically infer a variety of potentially sensitive author information. Adversarial stylometry intends to attack such models by rewriting an author's text. Our research proposes sev
Externí odkaz:
http://arxiv.org/abs/2101.11310