{"action":"created","issue":{"url":"https://api.github.com/repos/mit-nlp/MITIE/issues/54","repository_url":"https://api.github.com/repos/mit-nlp/MITIE","labels_url":"https://api.github.com/repos/mit-nlp/MITIE/issues/54/labels{/name}","comments_url":"https://api.github.com/repos/mit-nlp/MITIE/issues/54/comments","events_url":"https://api.github.com/repos/mit-nlp/MITIE/issues/54/events","html_url":"https://github.com/mit-nlp/MITIE/issues/54","id":163329227,"number":54,"title":"Using glove word representation.","user":{"login":"xezr","id":19652203,"avatar_url":"https://avatars.githubusercontent.com/u/19652203?v=3","gravatar_id":"","url":"https://api.github.com/users/xezr","html_url":"https://github.com/xezr","followers_url":"https://api.github.com/users/xezr/followers","following_url":"https://api.github.com/users/xezr/following{/other_user}","gists_url":"https://api.github.com/users/xezr/gists{/gist_id}","starred_url":"https://api.github.com/users/xezr/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/xezr/subscriptions","organizations_url":"https://api.github.com/users/xezr/orgs","repos_url":"https://api.github.com/users/xezr/repos","events_url":"https://api.github.com/users/xezr/events{/privacy}","received_events_url":"https://api.github.com/users/xezr/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2016-07-01T06:39:19Z","updated_at":"2016-07-01T11:04:30Z","closed_at":"2016-07-01T11:03:23Z","body":"Thanks for this great tool. As I read in issues, training new word representation with `wordrep` require lots of memory. Is it possible to use existing word representation in  `glove` format or even convert `glove` output to compatible with MITIE?"},"comment":{"url":"https://api.github.com/repos/mit-nlp/MITIE/issues/comments/229920257","html_url":"https://github.com/mit-nlp/MITIE/issues/54#issuecomment-229920257","issue_url":"https://api.github.com/repos/mit-nlp/MITIE/issues/54","id":229920257,"user":{"login":"davisking","id":6259399,"avatar_url":"https://avatars.githubusercontent.com/u/6259399?v=3","gravatar_id":"","url":"https://api.github.com/users/davisking","html_url":"https://github.com/davisking","followers_url":"https://api.github.com/users/davisking/followers","following_url":"https://api.github.com/users/davisking/following{/other_user}","gists_url":"https://api.github.com/users/davisking/gists{/gist_id}","starred_url":"https://api.github.com/users/davisking/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/davisking/subscriptions","organizations_url":"https://api.github.com/users/davisking/orgs","repos_url":"https://api.github.com/users/davisking/repos","events_url":"https://api.github.com/users/davisking/events{/privacy}","received_events_url":"https://api.github.com/users/davisking/received_events","type":"User","site_admin":false},"created_at":"2016-07-01T11:04:30Z","updated_at":"2016-07-01T11:04:30Z","body":"I should also point out that I can make wordrep use less memory.  But it's not a great idea because you need to run it on a large corpus anyway to get good results.  :)"}}
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