AIMC Topic: Natural Language Processing

Clear Filters Showing 271 to 280 of 3886 articles

Cost-Efficient Domain-Adaptive Pretraining of Language Models for Optoelectronics Applications.

Journal of chemical information and modeling
Pretrained language models have demonstrated strong capability and versatility in natural language processing (NLP) tasks, and they have important applications in optoelectronics research, such as data mining and topic modeling. Many language models ...

Developing an ICD-10 Coding Assistant: Pilot Study Using RoBERTa and GPT-4 for Term Extraction and Description-Based Code Selection.

JMIR formative research
BACKGROUND: The International Classification of Diseases (ICD), developed by the World Health Organization, standardizes health condition coding to support health care policy, research, and billing, but artificial intelligence automation, while promi...

RespBERT: A Multi-Site Validation of a Natural Language Processing Algorithm, of Radiology Notes to Identify Acute Respiratory Distress Syndrome (ARDS).

IEEE journal of biomedical and health informatics
Acute respiratory distress syndrome (ARDS) is a severe organ dysfunction associated with significant mortality and morbidity among critically ill patients admitted to the Intensive Care Unit (ICU). The etiology related to ARDS can be highly heterogen...

Partial Annotation Learning for Biomedical Entity Recognition.

IEEE journal of biomedical and health informatics
Named Entity Recognition (NER) is a key task to support biomedical research. In Biomedical Named Entity Recognition (BioNER), obtaining high-quality expert annotated data is laborious and expensive, leading to the development of automatic approaches ...

Improving entity recognition using ensembles of deep learning and fine-tuned large language models: A case study on adverse event extraction from VAERS and social media.

Journal of biomedical informatics
OBJECTIVE: Adverse event (AE) extraction following COVID-19 vaccines from text data is crucial for monitoring and analyzing the safety profiles of immunizations, identifying potential risks and ensuring the safe use of these products. Traditional dee...

A foundation systematic review of natural language processing applied to gastroenterology & hepatology.

BMC gastroenterology
OBJECTIVE: This review assesses the progress of NLP in gastroenterology to date, grades the robustness of the methodology, exposes the field to a new generation of authors, and highlights opportunities for future research.

Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation.

PloS one
This work focuses on the efficiency of the knowledge distillation approach in generating a lightweight yet powerful BERT-based model for natural language processing (NLP) applications. After the model creation, we applied the resulting model, LastBER...

Evaluating the Efficacy of Perplexity Scores in Distinguishing AI-Generated and Human-Written Abstracts.

Academic radiology
RATIONALE AND OBJECTIVES: We aimed to evaluate the efficacy of perplexity scores in distinguishing between human-written and AI-generated radiology abstracts and to assess the relative performance of available AI detection tools in detecting AI-gener...

A Looking Glass into a Research Wonderland: Decades of Virtual Reality Scholarship Explicated Via Natural Language Processing.

Cyberpsychology, behavior and social networking
How has the field of virtual reality (VR) evolved and what type of research has made an impact? We used natural language processing techniques and generative artificial intelligence to develop the most complete review of experimental social science V...

Artificial Intelligence in Pediatric Endocrinology.

Advances in pediatrics
The rapid technological progress over the last couple of decades has paved the way for innovative methods capable of solving scientific questions at a rate far exceeding human capabilities. One prime example is the field of artificial intelligence (A...