{"action":"created","issue":{"url":"https://api.github.com/repos/jadore801120/attention-is-all-you-need-pytorch/issues/20","repository_url":"https://api.github.com/repos/jadore801120/attention-is-all-you-need-pytorch","labels_url":"https://api.github.com/repos/jadore801120/attention-is-all-you-need-pytorch/issues/20/labels{/name}","comments_url":"https://api.github.com/repos/jadore801120/attention-is-all-you-need-pytorch/issues/20/comments","events_url":"https://api.github.com/repos/jadore801120/attention-is-all-you-need-pytorch/issues/20/events","html_url":"https://github.com/jadore801120/attention-is-all-you-need-pytorch/issues/20","id":244581256,"number":20,"title":"What is the score in beam search stands for?","user":{"login":"XinyuZhou-1014","id":19614128,"avatar_url":"https://avatars2.githubusercontent.com/u/19614128?v=4","gravatar_id":"","url":"https://api.github.com/users/XinyuZhou-1014","html_url":"https://github.com/XinyuZhou-1014","followers_url":"https://api.github.com/users/XinyuZhou-1014/followers","following_url":"https://api.github.com/users/XinyuZhou-1014/following{/other_user}","gists_url":"https://api.github.com/users/XinyuZhou-1014/gists{/gist_id}","starred_url":"https://api.github.com/users/XinyuZhou-1014/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/XinyuZhou-1014/subscriptions","organizations_url":"https://api.github.com/users/XinyuZhou-1014/orgs","repos_url":"https://api.github.com/users/XinyuZhou-1014/repos","events_url":"https://api.github.com/users/XinyuZhou-1014/events{/privacy}","received_events_url":"https://api.github.com/users/XinyuZhou-1014/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2017-07-21T07:00:35Z","updated_at":"2017-08-14T12:42:24Z","closed_at":null,"body":"I notice there's a score during beam search. But the meaning of it is very ambiguous and hard to be understood. Is there any intuitive description for it?  "},"comment":{"url":"https://api.github.com/repos/jadore801120/attention-is-all-you-need-pytorch/issues/comments/322179792","html_url":"https://github.com/jadore801120/attention-is-all-you-need-pytorch/issues/20#issuecomment-322179792","issue_url":"https://api.github.com/repos/jadore801120/attention-is-all-you-need-pytorch/issues/20","id":322179792,"user":{"login":"jadore801120","id":3960874,"avatar_url":"https://avatars1.githubusercontent.com/u/3960874?v=4","gravatar_id":"","url":"https://api.github.com/users/jadore801120","html_url":"https://github.com/jadore801120","followers_url":"https://api.github.com/users/jadore801120/followers","following_url":"https://api.github.com/users/jadore801120/following{/other_user}","gists_url":"https://api.github.com/users/jadore801120/gists{/gist_id}","starred_url":"https://api.github.com/users/jadore801120/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jadore801120/subscriptions","organizations_url":"https://api.github.com/users/jadore801120/orgs","repos_url":"https://api.github.com/users/jadore801120/repos","events_url":"https://api.github.com/users/jadore801120/events{/privacy}","received_events_url":"https://api.github.com/users/jadore801120/received_events","type":"User","site_admin":false},"created_at":"2017-08-14T12:42:24Z","updated_at":"2017-08-14T12:42:24Z","body":"Hi @XinyuZhou-1014 \r\nThanks for pointing out! I think your suggestion may be right.\r\nI will try to calculate the accuracy on the original sequence.\r\nYu-Hsiang"}}
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