Stanford Named Entity Recognizer (NER)

Submitted by on Jul 08 2014 } Suggest Revision
By: Jenny Finkel, Dan Klein, Christopher Manning
From: Stanford University
Resource Type:
GNU General Public License
Data Format:


A Conditional Random Field sequence model, together with well-engineered features for Named Entity Recognition in English, Chinese, and German.
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External User
2014-11-13 15:10:55

I would recommend this resource because it is readily available and it is a referential named entity recognizer for English language with state-of-the-art (or nearly) results. Jana Strakova

External User
2014-11-13 02:47:37

it's easy to use and good results. Dandan Song

External User
2014-11-10 16:57:07

the trained sets are pretty accurate and saves a lot of time. Ayush Shrestha

External User
2014-11-07 22:05:20

GNU General Public License, well-documented. Suzanne Tamang

External User
2014-11-07 18:58:23

This is the most well documented, easy to use NER that implements a CRF classifier! In case you get stuck, there is a very active user forum to get help! :-) Sachini

External User
2014-11-07 18:50:05

This is good resource, specially for the NLP community. I myself used it for some data mining experiments. Kamrul Hasan

External User
2014-11-07 17:28:10

It was quite easy to use and has state of the art performance. Niranjan Balasubramanian