AIMC Topic: Language

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Cross-lingual hate speech detection using domain-specific word embeddings.

PloS one
THIS ARTICLE USES WORDS OR LANGUAGE THAT IS CONSIDERED PROFANE, VULGAR, OR OFFENSIVE BY SOME READERS. Hate speech detection in online social networks is a multidimensional problem, dependent on language and cultural factors. Most supervised learning ...

Using artificial intelligence to generate medical literature for urology patients: a comparison of three different large language models.

World journal of urology
PURPOSE: Large language models (LLMs) are a form of artificial intelligence (AI) that uses deep learning techniques to understand, summarize and generate content. The potential benefits of LLMs in healthcare is predicted to be immense. The objective ...

[Large language models in science].

Urologie (Heidelberg, Germany)
OBJECTIVE: Large language models (LLMs) are gaining popularity due to their ability to communicate in a human-like manner. Their potential for science, including urology, is increasingly recognized. However, unresolved concerns regarding transparency...

Online content on eating disorders: a natural language processing study.

Journal of communication in healthcare
BACKGROUND: Online content can inform the personal risk of developing an eating disorder, and it can influence the time and motivation to seek treatment. Patients routinely seek information online, and access to information is crucial for both preven...

Reducing language barriers, promoting information absorption, and communication using fanyi.

Chinese medical journal
Interpreting genes of interest is essential for identifying molecular mechanisms, but acquiring such information typically involves tedious manual retrieval. To streamline this process, the fanyi package offers tools to retrieve gene information from...

Robust visual question answering via polarity enhancement and contrast.

Neural networks : the official journal of the International Neural Network Society
The Visual Question Answering (VQA) task is an important research direction in the field of artificial intelligence, which requires a model that can simultaneously understand visual images and natural language questions, and answer questions related ...

Integrated image-based deep learning and language models for primary diabetes care.

Nature medicine
Primary diabetes care and diabetic retinopathy (DR) screening persist as major public health challenges due to a shortage of trained primary care physicians (PCPs), particularly in low-resource settings. Here, to bridge the gaps, we developed an inte...

Performance of three artificial intelligence (AI)-based large language models in standardized testing; implications for AI-assisted dental education.

Journal of periodontal research
INTRODUCTION: The emerging rise in novel computer technologies and automated data analytics has the potential to change the course of dental education. In line with our long-term goal of harnessing the power of AI to augment didactic teaching, the ob...

Code-mixing unveiled: Enhancing the hate speech detection in Arabic dialect tweets using machine learning models.

PloS one
Technological developments over the past few decades have changed the way people communicate, with platforms like social media and blogs becoming vital channels for international conversation. Even though hate speech is vigorously suppressed on socia...