CoreNLPstanfordnlp/CoreNLP
Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words.
nlp.stanford.edu
Learning entities from unlabeled text starting with seed sets using patterns in an iterative fashion.
Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words.
A machine learning based toolkit for the processing of natural language text.
Machine Learning framework for rapid development of Machine Learning and Statistical applications.
A Java-based package for statistical natural language processing, document classification, clustering, topic modelling, information extraction, and other machine learning applications to text.
This project collects a number of core libraries for Natural Language Processing (NLP) developed in the University of Illinois' Cognitive Computation Group, for example illinois-core-utilities which provides a set of NLP-friendly data structures and a number of NLP-related utilities that support writing NLP applications, running experiments, etc, illinois-edison a library for feature extraction from illinois-core-utilities data structures and many other packages.