{"action":"closed","issue":{"url":"https://api.github.com/repos/kermitt2/grobid/issues/53","labels_url":"https://api.github.com/repos/kermitt2/grobid/issues/53/labels{/name}","comments_url":"https://api.github.com/repos/kermitt2/grobid/issues/53/comments","events_url":"https://api.github.com/repos/kermitt2/grobid/issues/53/events","html_url":"https://github.com/kermitt2/grobid/issues/53","id":69002360,"number":53,"title":"Segmentation corpus incomplete?","user":{"login":"jcboyd","id":8886851,"avatar_url":"https://avatars.githubusercontent.com/u/8886851?v=3","gravatar_id":"","url":"https://api.github.com/users/jcboyd","html_url":"https://github.com/jcboyd","followers_url":"https://api.github.com/users/jcboyd/followers","following_url":"https://api.github.com/users/jcboyd/following{/other_user}","gists_url":"https://api.github.com/users/jcboyd/gists{/gist_id}","starred_url":"https://api.github.com/users/jcboyd/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jcboyd/subscriptions","organizations_url":"https://api.github.com/users/jcboyd/orgs","repos_url":"https://api.github.com/users/jcboyd/repos","events_url":"https://api.github.com/users/jcboyd/events{/privacy}","received_events_url":"https://api.github.com/users/jcboyd/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":5,"created_at":"2015-04-16T20:22:36Z","updated_at":"2015-04-22T12:30:01Z","closed_at":"2015-04-22T12:30:01Z","body":"Grobid experts,\r\n\r\nWhen I process with the shipped Segmentation model, the performance is excellent--accuracy and F1 scores are close to perfect in all fields (this is reflected in the annotations themselves). However when I train a new model on the shipped Segmentation corpus, the evaluation is very poor. I can think of three possible reasons to explain this:\r\n\r\n1) The training set shipped is only a small sample of the set used to train the shipped model\r\n2) The number of l-bfgs iterations (6 by default) is too low\r\n3) I have broken something :)"}}