Results 61 to 70 of about 824,215 (366)
A strategic approach to safeguard global supply chains against COVID‐19 disruptions
The global system of supply chains has been dramatically disrupted over the last years due to the outbreak of the COVID‐19 pandemic. In these current challenging times, this paper proposes a methodological approach for managing dependence and uncertainty in dynamic industrial scenarios.
Ilyas Mzougui+3 more
wiley +1 more source
Typology emerges from simplicity in representations and learning
We derive well-understood and well-studied subregular classes of formal languages purely from the computational perspective of algorithmic learning problems.
Dakotah Jay Lambert+2 more
doaj
Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning [PDF]
A growing body of literature has focused on detailing the linguistic knowledge embedded in large, pretrained language models. Existing work has shown that non-linguistic biases in models can drive model behavior away from linguistic generalizations. We hypothesized that competing linguistic processes within a language, rather than just non-linguistic ...
arxiv
The brain dynamics of linguistic computation [PDF]
Neural oscillations at distinct frequencies are increasingly being related to a number of basic and higher cognitive faculties. Oscillations enable the construction of coherently organized neuronal assemblies through establishing transitory temporal correlations.
openaire +5 more sources
An introduction to causal inference for pharmacometricians
Abstract As formal causal inference begins to play a greater role in disciplines that intersect with pharmacometrics, such as biostatistics, epidemiology, and artificial intelligence/machine learning, pharmacometricians may increasingly benefit from a basic fluency in foundational causal inference concepts.
James A. Rogers+2 more
wiley +1 more source
Learning when to point : a data-driven approach [PDF]
The relationship between how people describe objects and when they choose to point is complex and likely to be influenced by factors related to both perceptual and discourse context.
25th International Conference on Computational Linguistics+2 more
core
Amygdala Neurodegeneration: A Key Driver of Visual Dysfunction in Parkinson's Disease
ABSTRACT Objective Visual disability in Parkinson's disease (PD) is not fully explained by retinal neurodegeneration. We aimed to delineate the brain substrate of visual dysfunction in PD and its association with retinal thickness. Methods Forty‐two PD patients and 29 controls underwent 3‐Tesla MRI, retinal spectral‐domain optical coherence tomography,
Asier Erramuzpe+15 more
wiley +1 more source
An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang
Abstract The increasing impact of Web 2.0 involves a growing usage of slang, abbreviations, and emphasized words, which limit the performance of traditional natural language processing models. The state‐of‐the‐art Part‐of‐Speech (POS) taggers are often unable to assign a meaningful POS tag to all the words in a Web 2.0 text.
Silvia Golia, Paola Zola
wiley +1 more source
Generating Artificial Error Data for Indonesian Preposition Error Corrections
Large-scale annotated data written by second language learners are not always available for low-resource languages such as Indonesian. To cope with data scarcity, it is important to generate ‘learner-like’ artificial error sentences when the available ...
Budi Irmawati+2 more
doaj +1 more source
Computational linguistics and discourse complexology: Paradigms and research methods
The dramatic expansion of modern linguistic research and enhanced accuracy of linguistic analysis have become a reality due to the ability of artificial neural networks not only to learn and adapt, but also carry out automate linguistic analysis, select,
Valery Dmitrievich Solovyev+2 more
doaj +1 more source