[Corpora-List] Named Entity Recognition Software

[Axel Ngonga]

You might also want to try JNET from the University of Jena as it's 
pretty to train

http://www.julielab.de/Resources/Software/NLP+Tools.html

Best, Axel

> Based on my own limited reading, I'd suggest the NER tagger from U Illinois:
>
> http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=FLBJNE
>
> ______________
> craig.pfeifer at gmail.com
>
>
>
> On Wed, Jun 23, 2010 at 11:29 AM, David L. Hoover <david.hoover at nyu.edu> wrote:
>   
>> Hello all,
>>
>> Apologies if this is a much answered question, but I am working on a project
>> that studies the use of names in literary texts, primarily place names and
>> person names, but also other names. The only named entity recognition
>> software I have tried is hopelessly inaccurate, with a failure rate of more
>> than 30%. At this rate, it is quicker and more accurate to tag the text
>> manually.
>>
>> What NER software do you all know of that is considered to be the most
>> accurate? And roughly what accuracy level could be expected on literary
>> texts (say, 20th century British and American novels)?
>>
>> Thanks,
>> David
>>
>> --
>>         David L. Hoover, Professor of English, NYU
>>      212-998-8832       https://files.nyu.edu/dh3/public/
>>
>> "People like making sense. They like other things, too,
>> sometimes more than they like making sense. The history of
>> literary studies over the past thirty years or so has given ample
>> illustrations of the kinds of things literary academics often
>> prefer to making sense." Joseph Carroll,  Style 42.2-3
>>
>>
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>
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-- 
Axel Ngonga, Dr. rer. nat
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Zimmer 5-22
04103 Leipzig

Tel: +49 (0)341 9732341
Fax: +49 (0)341 9732239



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