Explainable artificial intelligence for education and training
Researchers and software users benefit from the rapid growth of artificial intelligence (AI) to
an unprecedented extent in various domains where automated intelligent action is required …
an unprecedented extent in various domains where automated intelligent action is required …
[HTML][HTML] Sentiment analysis of clinical narratives: a scoping review
K Denecke, D Reichenpfader - Journal of Biomedical Informatics, 2023 - Elsevier
A clinical sentiment is a judgment, thought or attitude promoted by an observation with
respect to the health of an individual. Sentiment analysis has drawn attention in the …
respect to the health of an individual. Sentiment analysis has drawn attention in the …
[HTML][HTML] A text classification approach to detect psychological stress combining a lexicon-based feature framework with distributional representations
S Muñoz, CA Iglesias - Information Processing & Management, 2022 - Elsevier
Nowadays, stress has become a growing problem for society due to its high impact on
individuals but also on health care systems and companies. In order to overcome this …
individuals but also on health care systems and companies. In order to overcome this …
A large-scaled corpus for assessing text readability
This paper introduces the CommonLit Ease of Readability (CLEAR) corpus, which provides
unique readability scores for~ 5000 text excerpts along with information about the excerpt's …
unique readability scores for~ 5000 text excerpts along with information about the excerpt's …
Explainable automated essay scoring: Deep learning really has pedagogical value
V Kumar, D Boulanger - Frontiers in education, 2020 - frontiersin.org
Automated essay scoring (AES) is a compelling topic in Learning Analytics for the primary
reason that recent advances in AI find it as a good testbed to explore artificial …
reason that recent advances in AI find it as a good testbed to explore artificial …
Moving beyond classic readability formulas: New methods and new models
SA Crossley, S Skalicky… - Journal of Research in …, 2019 - Wiley Online Library
Background Advances in natural language processing (NLP) and computational linguistics
have facilitated major improvements on traditional readability formulas that aim at predicting …
have facilitated major improvements on traditional readability formulas that aim at predicting …
Multimodal fusion methods with deep neural networks and meta-information for aggression detection in surveillance
Multimodal fusion has become one of the hottest topics in affective computing and other
research areas. Yet, this topic is less studied in surveillance systems. In general, it focused …
research areas. Yet, this topic is less studied in surveillance systems. In general, it focused …
Hate speech and counter speech detection: Conversational context does matter
Hate speech is plaguing the cyberspace along with user-generated content. This paper
investigates the role of conversational context in the annotation and detection of online hate …
investigates the role of conversational context in the annotation and detection of online hate …
The triangulation of ethical leader signals using qualitative, experimental, and data science methods
To advance ethical leadership using signaling theory, the current work presents a mixture of
inductive and deductive studies. Using a constant comparative analysis method, Study 1 …
inductive and deductive studies. Using a constant comparative analysis method, Study 1 …
Automated essay scoring and the deep learning black box: How are rubric scores determined?
VS Kumar, D Boulanger - International Journal of Artificial Intelligence in …, 2021 - Springer
This article investigates the feasibility of using automated scoring methods to evaluate the
quality of student-written essays. In 2012, Kaggle hosted an Automated Student Assessment …
quality of student-written essays. In 2012, Kaggle hosted an Automated Student Assessment …