AIMC Topic: Natural Language Processing

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Paraphrase detection for Urdu language text using fine-tune BiLSTM framework.

Scientific reports
Automated paraphrase detection is crucial for natural language processing (NL) applications like text summarization, plagiarism detection, and question-answering systems. Detecting paraphrases in Urdu text remains challenging due to the language's co...

Artificial intelligence for early detection of lung cancer in GPs' clinical notes: a retrospective observational cohort study.

The British journal of general practice : the journal of the Royal College of General Practitioners
BACKGROUND: The journey of >80% of patients diagnosed with lung cancer starts in general practice. About 75% of patients are diagnosed when it is at an advanced stage (3 or 4), leading to >80% mortality within 1 year at present. The long-term data in...

Natural Language Processing and Machine Learning Techniques for Analyzing Conversations About Nutritional Yeasts in the United States and France: Retrospective Social Media Listening Study.

JMIR infodemiology
BACKGROUND: Nutritional yeast, an inactive form of Saccharomyces cerevisiae, has recently become increasingly popular as a food supplement and healthy ingredient, especially among individuals following plant-based diets. It is valued for its health b...

Automated extraction of functional biomarkers of verbal and ambulatory ability from multi-institutional clinical notes using large language models.

Journal of neurodevelopmental disorders
BACKGROUND: Functional biomarkers in neurodevelopmental disorders, such as verbal and ambulatory abilities, are essential for clinical care and research activities. Treatment planning, intervention monitoring, and identifying comorbid conditions in i...

A systematic evaluation of the language-of-viral-escape model using multiple machine learning frameworks.

Journal of the Royal Society, Interface
Predicting the evolutionary patterns of emerging and endemic viruses is key for mitigating their spread. In particular, it is critical to rapidly identify mutations with the potential for immune escape or increased disease burden. Knowing which circu...

Evaluating the novel role of ChatGPT-4 in addressing corneal ulcer queries: An AI-powered insight.

European journal of ophthalmology
PurposeChatGPT-4, a natural language processing-based AI model, is increasingly being applied in healthcare, facilitating education, research, and clinical decision-making support. This study explores ChatGPT-4's capability to deliver accurate and de...

Spanish to Mexican Sign Language glosses corpus for natural language processing tasks.

Scientific data
This work shares a dataset that contains Spanish (SPA) to Mexican Sign Language (MSL) glosses -transcripted MSL- pairs of sentences for a downstream task. The methodology used to prepare the shared dataset considered the construction of SPA-to-MSL co...

A Novel Natural Language Processing Model for Triaging Head and Neck Patient Appointments.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
OBJECTIVE: Inaccurate patient triage contributes to suboptimal clinical capacity management and delays in patient care, which in cancer patients may significantly increase morbidity and mortality. We developed a natural language processing (NLP) mode...

A NLP analysis of digital demand for healthcare jobs in China.

Scientific reports
The rapid growth of the healthcare industry in China has led to a significant talent gap, particularly in the areas of digital skills and management expertise. This study aims to bridge this gap by analyzing healthcare job listings using natural lang...

TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments.

Scientific data
Semantic understanding is central to advanced cognitive functions, and the mechanisms by which the brain processes language information are still being explored. Existing EEG datasets often lack natural reading data specific to Chinese, limiting rese...