Results 181 to 190 of about 197,254 (306)

Computational linguistics and discourse complexology: Paradigms and research methods

, 2022
Valery Solovyev, Marina I. Solnyshkina, Danielle S. McNamara   +2 more
openalex   +2 more sources

Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts [PDF]

, 2020

openalex   +1 more source

Effects of Pallidal Deep Brain Stimulation on Speech and Swallowing in Pediatric Patients with Dystonia

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Bilateral globus pallidus internus deep brain stimulation (GPi‐DBS) is a proven safe and effective treatment in certain forms of idiopathic or inherited dystonia (ID/IN). Its effects in acquired dystonia such as in dyskinetic cerebral palsy (DCP) however vary widely.
Katerina Bernardi, Andrea A. Kühn, Ana Luísa de Almeida Marcelino, Matthias Eckenweiler, Cornelia Rensing‐Zimmermann, Joachim K. Krauss, Joachim Runge, Rene Marquez Franco, Delia Lorenz, Monika Müller, Alfons Schnitzler, Andrea Bevot, Lidwin von Spee, Veerle Visser‐Vandewalle, Lars Timmermann, Petra Schiller, Anne Koy   +16 more
wiley   +1 more source

Restraining Cultural Stereotyping in Computational Linguistics through Computational Ethics

Journal of Integrative and Innovative Humanities
Computational linguistics is one of the achievements of science and technology in the 21st century. It has the ability to enable machines to understand, analyze and process human language with the aid of algorithms. Computational
Ikechukwu Monday Osebor, Carol C. Ohen
doaj  

Beetle II: A System for Tutoring and Computational Linguistics Experimentation [PDF]

, 2010
Callaway, Charles B., Campbell, Gwendolyn, Dzikovska, Myroslava O., Farrow, Elaine, Moore, Johanna D., Steinhauser, Natalie   +5 more
core  

Attribute Implication Bases From Galois Connection Structures

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Modeling knowledge systems by determining relationships among key variables have been and currently is a fundamental and nontrivial challenge in real‐world scenarios. Many approaches have been developed to reach this goal, but many of them are heuristic and require of alternative procedures to provide robust and tractable rules.
M. Eugenia Cornejo, Jesús Medina, Francisco José Ocaña   +2 more
wiley   +1 more source

Algorithmic advancements in Computational Historical Linguistics

, 2021
Johannes Wahle
openalex   +1 more source

CEST MRI Processing Pipeline in Pilot Study of Alzheimer's Disease Patients

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a processing pipeline combining neuroimaging analysis tools with CEST postprocessing and utilize it in a pilot study probing differences between cognitively impaired (CI) Alzheimer's disease (AD) patients and cognitively normal (CN) individuals.
Alexander Asturias, Fang Frank Yu, Elizabeth M. Davenport, Brendan J. Kelley, Ivan E. Dimitrov, Jochen Keupp, Elena Vinogradov   +6 more
wiley   +1 more source

Natural Language Processing and Computational Linguistics

Computational Linguistics, 2021
Junichi Tsujii
doaj   +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source