Stanford CoreNLP is a Java-based suite of natural language processing tools for tokenization, sentence segmentation, named entity recognition, parsing, coreference resolution, and sentiment analysis.
It supports English, Arabic, Chinese, French, German, Hungarian, Italian, and Spanish with pre-trained models available via downloads or Hugging Face Hub. The code is licensed under GNU GPL v2 or later, with build instructions using Ant or Maven and separate model jars required for operation.
Stanford CoreNLP is a Java-based toolkit for natural language processing, offering tokenization, part-of-speech tagging, named entity recognition, dep...
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization. ...
