Results 91 to 100 of about 8,325,212 (282)

Meta-Natural Language (Natural Language of Natural Languages)

open access: yes
A MetaStructure is a higher-level framework that regards collections of structures as single objects, endowed with natural operations that preserve isomorphisms across domains. An Iterated MetaStructure extends this idea recursively, producing successive layers in which structures of structures give rise to deeper hierarchical meta-levels.
openaire   +1 more source

Evaluation of five free Medline versions

open access: yesPayesh, 2002
Objective(s): To evaluation of five free Medline versions, this study designed. Material &  Methods: This research was a cross - sectional  study in nature and conducted  to evaluate the five  famous  Medline  versions  (Biomed Net,  Dimidi,  Infotrieve,
Ershad Sarabi.R   +2 more
doaj  

The Technology of Translating Natural Language Merchandising Rules into Digital Planograms

open access: yesInformatika
Objectives. The aim of the research is to develop and test an approach for the automatic transformation of product layout rules, formulated in natural language, into formalized machine-readable instructions to bridge the gap between business requirements
Konstantin S. Kurorchka   +1 more
doaj   +1 more source

Language Resources – a Part of World Cultural Heritage

open access: yesDigital Presentation and Preservation of Cultural and Scientific Heritage, 2011
This article briefly reviews multilingual language resources for Bulgarian, developed in the frame of some international projects: the first-ever annotated Bulgarian MTE digital lexical resources, Bulgarian-Polish corpus, Bulgarian-Slovak parallel and ...
Ludmila Dimitrova
doaj   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig   +9 more
wiley   +1 more source

Prospects for Using Information Dialectics to Improve AI: The Concept of Galois-Field-Based Intrinsic Explainability

open access: yesPhilosophies
The rapid development of artificial intelligence in recent years has been driven primarily by engineering advances, while the philosophical foundations of the concept of “intelligence” itself have been reconsidered much more slowly. This paper proposes a
Ibragim Suleimenov, Akhat Bakirov
doaj   +1 more source

Cross Entropy of Neural Language Models at Infinity—A New Bound of the Entropy Rate

open access: yesEntropy, 2018
Neural language models have drawn a lot of attention for their strong ability to predict natural language text. In this paper, we estimate the entropy rate of natural language with state-of-the-art neural language models.
Shuntaro Takahashi, Kumiko Tanaka-Ishii
doaj   +1 more source

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller   +14 more
wiley   +1 more source

Generating Spatial Referring Expressions in a Social Robot: Dynamic vs. Non-ambiguous

open access: yesFrontiers in Robotics and AI, 2019
Generating spatial referring expressions is key to allowing robots to communicate with people in an environment. The focus of most algorithms for generation is to create a non-ambiguous description, and how best to deal with the combination explosion ...
Christopher D. Wallbridge   +4 more
doaj   +1 more source

Electroencephalographic Normalization as a Biomarker of Clinical Recovery in Down Syndrome Regression Disorder

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro   +14 more
wiley   +1 more source

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