I want to develop a Named entity recognition system in Persian language but we have a small NER tagged corpus for training ans test. Maybe In the future we'll have a better and bigger corpus. By the way I need a solution that get incrementally the better performance whenever the new data added without with merge the new data with old data and training from scratch. Is there any solution ?
Named entity recognition with a small data set (corpus)
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Yes. With your help: it is a work in progress. It is JS and "No training ..."
Please see https://github.com/redaktor/nlp_compromise/ !
It is a fork where I worked on NER during the last days and it will be optimized for usage with different languages !!!
It is a combination of a dictionary for words, dictionary for rules + build tool. It would be awesome to work on persian support (I am working on german) ... It is planned to support NER of
I think it could be a starting point ? I did not find the time to document the new features - feel free to open issues on github.