Natural language processing is a branch of artificial intelligence that aims to enable computers to process, understand, interpret and manipulate human language. After decades of exploring, current ...

A curated set of 1,000 BC Cancer clinical documents with concentrated SDoH information served as the reference standard for training and evaluating NLP models. Two pipelines were used: an open-source ...

Developers and data scientists use generative AI and large language models (LLMs) to query volumes of documents and unstructured data. Open source LLMs, including Dolly 2.0, EleutherAI Pythia, Meta AI ...

Entity and relationship extraction is a core task in the field of natural language processing for automatically extracting entities and their relationships from unstructured text, and thus ...

The performance of deep learning-based natural language processing systems is based on large amounts of labeled training data which, in the clinical domain, are not easily available or affordable.

Overview:  Large language models may dominate headlines, but modern NLP tools remain essential for text processing, ...