{"action":"created","issue":{"url":"https://api.github.com/repos/mit-nlp/MITIE/issues/31","labels_url":"https://api.github.com/repos/mit-nlp/MITIE/issues/31/labels{/name}","comments_url":"https://api.github.com/repos/mit-nlp/MITIE/issues/31/comments","events_url":"https://api.github.com/repos/mit-nlp/MITIE/issues/31/events","html_url":"https://github.com/mit-nlp/MITIE/issues/31","id":123407411,"number":31,"title":"Is it possible to reduce the size of the model","user":{"login":"jinyichao","id":8477259,"avatar_url":"https://avatars.githubusercontent.com/u/8477259?v=3","gravatar_id":"","url":"https://api.github.com/users/jinyichao","html_url":"https://github.com/jinyichao","followers_url":"https://api.github.com/users/jinyichao/followers","following_url":"https://api.github.com/users/jinyichao/following{/other_user}","gists_url":"https://api.github.com/users/jinyichao/gists{/gist_id}","starred_url":"https://api.github.com/users/jinyichao/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jinyichao/subscriptions","organizations_url":"https://api.github.com/users/jinyichao/orgs","repos_url":"https://api.github.com/users/jinyichao/repos","events_url":"https://api.github.com/users/jinyichao/events{/privacy}","received_events_url":"https://api.github.com/users/jinyichao/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":5,"created_at":"2015-12-22T03:48:49Z","updated_at":"2015-12-22T14:16:52Z","closed_at":null,"body":"Hi, I've come across this library, and found it is really amazing! The accuracy is even better than Stanford NER demo!\r\n\r\nAlthough I understand it contains a high dimensional space with over 500,000 dimensions, is it possible to reduce the model size? "},"comment":{"url":"https://api.github.com/repos/mit-nlp/MITIE/issues/comments/166627003","html_url":"https://github.com/mit-nlp/MITIE/issues/31#issuecomment-166627003","issue_url":"https://api.github.com/repos/mit-nlp/MITIE/issues/31","id":166627003,"user":{"login":"jinyichao","id":8477259,"avatar_url":"https://avatars.githubusercontent.com/u/8477259?v=3","gravatar_id":"","url":"https://api.github.com/users/jinyichao","html_url":"https://github.com/jinyichao","followers_url":"https://api.github.com/users/jinyichao/followers","following_url":"https://api.github.com/users/jinyichao/following{/other_user}","gists_url":"https://api.github.com/users/jinyichao/gists{/gist_id}","starred_url":"https://api.github.com/users/jinyichao/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jinyichao/subscriptions","organizations_url":"https://api.github.com/users/jinyichao/orgs","repos_url":"https://api.github.com/users/jinyichao/repos","events_url":"https://api.github.com/users/jinyichao/events{/privacy}","received_events_url":"https://api.github.com/users/jinyichao/received_events","type":"User","site_admin":false},"created_at":"2015-12-22T14:16:52Z","updated_at":"2015-12-22T14:16:52Z","body":"I really appreciate your prompt reply! It would be better if this use case can be supported soon! \r\nJava is our first choice, but unfortunately, there is no Java APIs for model training. It would be even better if you can provide such Java APIs soon! "}}