Results 91 to 100 of about 51,982 (249)

HOW CAN CONSUMERS BE PERSUADED TO PAY MORE THROUGH NEUROMARKETING [PDF]

Annals of the University of Petrosani: Economics, 2019
The article aims to analyze how NLP can change consumer behavior, by using Cleopatra technique. The purpose of the case study is to analyze the strategies used by the service staff to influence consumers’ behavior through Cleopatra technique.
MIHAI ALIN ANGHEL
doaj  

Human Experts and AI Models in Offender Risk Assessment: A Comparative Pilot Study Using the HCR‐20V3

Behavioral Sciences &the Law, EarlyView.
ABSTRACT This pilot study compares offender risk assessments conducted by human experts and advanced large language models (LLMs) within the HCR‐20V3 framework. Both groups evaluated a series of synthetic forensic case vignettes designed to simulate realistic clinical conditions. Quantitative results indicate that AI models consistently assigned higher
Shai Farber
wiley   +1 more source

Bridging the Knowledge Gap: Improving BERT models for answering MCQs by using Ontology-generated synthetic MCQA Dataset

Proceedings of the International Florida Artificial Intelligence Research Society Conference
BERT-based models possess impressive language understanding capabilities but often lack domain-specific knowledge, limiting their performance on specialised tasks such as medical multiple-choice question answering (MCQA).
Sahil, P Sreenivasa Kumar
doaj   +1 more source

Artificial intelligence and machine learning‐assisted digital applications for biopharmaceutical manufacturing

Biotechnology Progress, EarlyView.
Abstract Artificial intelligence and automation are no longer just buzzwords in the biopharmaceutical industry. The manufacturing of a class of biologics, comprising monoclonal antibodies, cell therapies, and gene therapies, is far more complex than that of traditional small molecule drugs.
Shyam Panjwani, Hao Wei, John Mason
wiley   +1 more source

Beyond original Research Articles Categorization via NLP [PDF]

, 2023
Rosanna Turrisi
openalex   +1 more source

Partial identification with categorical data and nonignorable missing outcomes

Canadian Journal of Statistics, EarlyView.
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley   +1 more source

Tax Law NLP Resources

, 2020
Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme   +2 more
openalex   +1 more source

Patterns and Drivers of Spanish Corporate Commitment to the UN Global Compact: A Quantitative Approach

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This paper presents a quantitative assessment of Spanish companies' commitment to the United Nations Global Compact (UNGC) and the Sustainable Development Goals (SDGs). Analyzing over 1000 participating firms, we identify prioritization patterns and examine structural factors influencing SDG adherence.
Juan Laborda, Juan Pérez
wiley   +1 more source

Generación y Recuperación de Información Contextualizada: Un Enfoque Avanzado Basado en RAG para el Procesamiento del Lenguaje Natural

Revista Ingeniería, Matemáticas y Ciencias de la Información
Este artículo explora en profundidad la integración de técnicas avanzadas de machine learning mediante la metodología Retrieval Augmented Generation (RAG).
Daniel Leonardo Gonzalez Torres, Ricardo Andres Santa Quintero   +1 more
doaj   +1 more source

Quality School Dining Experience Using Neural Network, Machine Learning, and NLP Technologies

, 2020
Taehoon Han
openalex   +1 more source