Google has introduced LangExtract, an open-source Python library designed to help developers extract structured information from unstructured text using large language models such as the Gemini ...

Using natural language processing (NLP) to analyze unstructured text in clinical documents and messaging apps, for example, could expedite processes and save time for clinicians, according to Ng.

Objective Routinely collected healthcare data are a powerful research resource but often lack detailed disease-specific information that is collected in clinical free text, for example, clinic letters ...

We propose a new LLM Agent-based intelligent data extraction, transformation, and load (IntelligentETL) pipeline that not only ingests PDFs and detects inputs within it but also addresses the ...

Constructing Knowledge Graphs (KGs) from unstructured data is a complex task due to the difficulties of extracting and structuring meaningful information from raw text. Unstructured data often ...

The use of unstructured data in GenAI introduces new types of governance, privacy and security risks.