Natural Language Processing Pipeline

Natural Language Processing (NLP) pipelines automate the extraction of meaningful information from text data, addressing diverse needs across various fields. Current research emphasizes improving pipeline efficiency and accuracy through advanced deep learning models, such as BERT variants and custom-designed neural networks, often tailored to specific domains (e.g., healthcare, humanitarian aid, legal). These advancements enable large-scale analysis of textual data, facilitating tasks ranging from automated policy analysis and medical record review to improved knowledge graph construction and enhanced accessibility of information. The resulting insights have significant implications for both scientific discovery and practical applications in numerous sectors.