Stanford.NLP.NER 3.5.2

There is a newer version of this package available.
See the version list below for details.
dotnet add package Stanford.NLP.NER --version 3.5.2
NuGet\Install-Package Stanford.NLP.NER -Version 3.5.2
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Stanford.NLP.NER" Version="3.5.2" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Stanford.NLP.NER --version 3.5.2
#r "nuget: Stanford.NLP.NER, 3.5.2"
#r directive can be used in F# Interactive and Polyglot Notebooks. 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=3.5.2

// Install Stanford.NLP.NER as a Cake Tool
#tool nuget:?package=Stanford.NLP.NER&version=3.5.2

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.

Product Compatible and additional computed target framework versions.
.NET Framework net is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
    • IKVM (= 8.0.5449.1)

NuGet packages (1)

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

Package Downloads
PIIRedact

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 Downloads Last updated
4.2.0.2 2,021 8/25/2022
4.2.0 1,756 2/27/2021
3.9.2 28,309 5/1/2019
3.9.1 34,863 3/3/2018
3.8.0 5,839 9/9/2017
3.7.0.1 4,566 4/9/2017
3.7.0 1,442 1/13/2017
3.6.0 6,983 12/28/2015
3.5.2.1 1,658 10/5/2015
3.5.2 5,203 5/22/2015
3.5.1 1,836 2/14/2015
3.5.0 2,103 12/3/2014
3.4.0 2,137 6/21/2014
3.3.1.1 1,296 5/2/2014
3.3.0 1,677 11/27/2013
3.2.0 1,714 7/11/2013