Stanford.NLP.NER 3.9.2

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 order) implementation of linear chain Conditional Random Field (CRF) sequence models, coupled with well-engineered feature extractors for Named Entity Recognition.

There is a newer version of this package available.
See the version list below for details.
Install-Package Stanford.NLP.NER -Version 3.9.2
dotnet add package Stanford.NLP.NER --version 3.9.2
<PackageReference Include="Stanford.NLP.NER" Version="3.9.2" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Stanford.NLP.NER --version 3.9.2
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Stanford.NLP.NER, 3.9.2"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install Stanford.NLP.NER as a Cake Addin
#addin nuget:?package=Stanford.NLP.NER&version=3.9.2

// Install Stanford.NLP.NER as a Cake Tool
#tool nuget:?package=Stanford.NLP.NER&version=3.9.2
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Release Notes

New version of Stanford NLP (3.9.2)

NuGet packages (1)

Showing the top 1 NuGet packages that depend on Stanford.NLP.NER:

Package Downloads
Redacts the PII information i.e name, organization, location,email, ssn, driver license, passport no. ip address etc.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
4.2.0 165 2/27/2021
3.9.2 23,308 5/1/2019
3.9.1 30,737 3/3/2018
3.8.0 4,157 9/9/2017 4,096 4/9/2017
3.7.0 1,019 1/13/2017
3.6.0 5,083 12/28/2015 983 10/5/2015
3.5.2 4,716 5/22/2015
3.5.1 1,145 2/14/2015
3.5.0 1,433 12/3/2014
3.4.0 1,585 6/21/2014 804 5/2/2014
3.3.0 1,141 11/27/2013
3.2.0 1,015 7/11/2013