[BioNLP] Can anyone please recommend a light-weight annotator?

Demner Fushman, Dina (NIH/NLM/LHC) [E] ddemner at mail.nih.gov
Wed Nov 30 08:24:37 EST 2011


Potentially, there are 34 NER tools (7 tagged as annotators) registered with http://orbit.nlm.nih.gov/
It would be great to see more comments about these tools (and other resources, including the ORBIT project itself): for what task they were used, what was easy/good, what were the hurdles and how they were resolved (similar to Iva’s description of CLaRK).
We strongly hope the ORBIT registry will become  a reliable  up-to-date resource maintained by the BioNLP community and the comments will help all of us find the right tools, datasets, etc.

Dina

From: Jon Patrick [mailto:jonpat at it.usyd.edu.au]
Sent: Wednesday, November 30, 2011 7:05 AM
To: Natural language processing for biology
Subject: Re: [BioNLP] Can anyone please recommend a light-weight annotator?

Another one is Callisto from the MITRE corporation.
jon
On 30/11/2011, at 7:47 PM, Ning Kang wrote:


there are a lot of light-weight annotators which can be used directly, such as lingpipe, abner, opennlp, jnet, stanfordNER, yamcha, etc.

all of them have pre-trained model and could be retrained for different purposes.

Ning Kang

On Wed, Nov 30, 2011 at 9:40 AM, Ivelina Nikolova <iva at lml.bas.bg<mailto:iva at lml.bas.bg>> wrote:
Hi,

you can have a look at the CLaRK  system too: http://www.bultreebank.org/clark/
It is not exactly light-weight though, it's an engine comprising features for corpora annotation, exploration and manipulation.

best,
iva

На 30.11.2011 г. 03:34 ч., Hui Yang написа:
Hi,

Does anyone know a light-weight, standalone, ready-to-use annotator similar to the GATE annotator?

Thank you for your help in advance.

-hui yang


Department of Computer Science
San Francisco State University

http://www.cs.sfsu.edu/~huiyang



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