A General Process for the Semantic Annotation and Enrichment of Electronic Program Guides

2019 ◽  
pp. 72-86
Author(s):  
Santiago Gonzalez-Toral ◽  
Mauricio Espinoza-Mejia ◽  
Kenneth Palacio-Baus ◽  
Victor Saquicela
Keyword(s):  
Semantic Annotation ◽  
General Process

Semantic Annotation of Japanese Functional Expressions and its Impact on Factuality Analysis

2015 ◽  
Author(s):  
Yudai Kamioka ◽  
Kazuya Narita ◽  
Junta Mizuno ◽  
Miwa Kanno ◽  
Kentaro Inui
Keyword(s):  
Semantic Annotation

Image Semantic Annotation Method for Weakly Labeled Dataset

2014 ◽  
Vol 24 (10) ◽  
pp. 2405-2418 ◽  
Author(s):  
Feng TIAN ◽  
Xu-Kun SHEN
Keyword(s):  
Semantic Annotation ◽  
Annotation Method

A Case for Automated Large Scale Semantic Annotation

2003 ◽  
Author(s):  
Stephen Dill ◽  
Nadav Eiron ◽  
David Gibson ◽  
Daniel Gruhl ◽  
R. Guha ◽  
...  
Keyword(s):  
Large Scale ◽  
Semantic Annotation

Prediction of a New Approach for a Valid Semantic Annotation

2018 ◽  
Vol 10 (3) ◽  
pp. 201-207
Author(s):  
Kadda Benyahia ◽  
Allel Mokaddem ◽  
Ahmed Lehireche
Keyword(s):  
Semantic Annotation ◽  
New Approach

scholarly journals How Do Machines Learn? Artificial Intelligence as a New Era in Medicine

2021 ◽  
Vol 11 (1) ◽  
pp. 32
Author(s):  
Oliwia Koteluk ◽  
Adrian Wartecki ◽  
Sylwia Mazurek ◽  
Iga Kołodziejczak ◽  
Andrzej Mackiewicz
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Health Care ◽  
Medical Data ◽  
General Process ◽  
New Era ◽  
Automated Evaluation ◽  
Machine Learning Applications ◽  
And Training ◽  
Current Standards

With an increased number of medical data generated every day, there is a strong need for reliable, automated evaluation tools. With high hopes and expectations, machine learning has the potential to revolutionize many fields of medicine, helping to make faster and more correct decisions and improving current standards of treatment. Today, machines can analyze, learn, communicate, and understand processed data and are used in health care increasingly. This review explains different models and the general process of machine learning and training the algorithms. Furthermore, it summarizes the most useful machine learning applications and tools in different branches of medicine and health care (radiology, pathology, pharmacology, infectious diseases, personalized decision making, and many others). The review also addresses the futuristic prospects and threats of applying artificial intelligence as an advanced, automated medicine tool.

Populism and the rational choice model: The case of the French National Front

2021 ◽  
pp. 104346312199596
Author(s):  
François Facchini ◽  
Louis Jaeck
Keyword(s):  
Political Party ◽  
General Model ◽  
Choice Model ◽  
Right Wing ◽  
Utility Model ◽  
National Front ◽  
General Process ◽  
Expressive Voting ◽  
Rational Choice Model ◽  
Political Norms

This article proposes a general model of partisan political dealignment based on the theory of expressive voting. It is based on the Riker and Odershook equation. Voters cast a ballot for a political party if the utility associated with expressing their support for it is more than their expressive costs. Expressive utility is modeled here as a certain utility model. Then, the model is applied to the rise of voting support in favor of French right-wing populists, the National Front (FN). We show that the fall of justification costs of FN ideology along with the decline in stigmatization costs of voting in favor of the extreme right has fostered the popularity of this party. Political dealignment here is only a particular case of a general process of political norms transgression inherited by each voter.

scholarly journals The Dimension of the Body in Higher Education: Matrix of Meanings in Students’ Diaries

Human Arenas ◽  
2021 ◽  
Author(s):  
Ramiro Tau ◽  
Laure Kloetzer ◽  
Simon Henein
Keyword(s):  
Higher Education ◽  
Performing Arts ◽  
Teaching And Learning ◽  
Educational Practice ◽  
The Body ◽  
Cultural Perspective ◽  
General Process ◽  
Emotional Dimension ◽  
The Matrix ◽  
The Mind

AbstractIn this paper, we attempt to show some consequences of bringing the body back into higher education, through the use of performing arts in the curricular context of scientific programs. We start by arguing that dominant traditions in higher education reproduced the mind-body dualism that shaped the social matrix of meanings on knowledge transmission. We highlight the limits of the modern disembodied and decontextualized reason and suggest that, considering the students’ and teachers’ bodies as non-relevant aspects, or even obstacles, leads to the invisibilization of fundamental aspects involved in teaching and learning processes. We thus conducted a study, from a socio-cultural perspective, in which we analyse the emerging matrix of meanings given to the body and bodily engagement by students, through a systematic qualitative analysis of 47 personal diaries. We structured the results and the discussion around five interpretative axes: (1) the production of diaries enables historicization, while the richness of bodily experience expands the boundaries of diaries into non-textual modalities; (2) curricular context modulates the emergent meanings of the body; (3) physical and symbolic spaces guide the matrix of bodily meanings; (4) the bodily dimension of the courses facilitates the emergence of an emotional dimension to get in touch with others and to register one's own emotional experiences; and (5) the body functions as a condition for biographical continuity. These axes are discussed under the light of the general process of consciousness-raising and resignification of the situated body in the educational practice.

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