returned for Tags:"NER"
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, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, and mark up the structure of...
Stanford NER (also known as CRFClassifier) is a Java implementation of a Named Entity Recognizer. Named Entity Recognition (NER) labels sequences of words in a text which are the names of things, such as person and company names, or gene and protein names. The software provides a general (arbitrary...
The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks...
An independent reimplementation of the Apache OpenNLP software library in C#
Provides a way to parse html or csv tagged corpuses and get confusion matrix from corpuses comparison. For more information https://github.com/dmit25/DZ.Tools
This package is a wrapper for DBPedia Spotlight
Resource package that contains named-entity recognition for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
Natural language query parser and rule-based named entity recognizer.
NLQuery: natural language query parser recognizes entities by the data from a structured sources (like databases, tabular datasets, formal ontologies) and provides scored recognition results that may be used for generating formal query against the data source. Can be used for building natural...