{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"NamedEntityRecognizer","owner":"DomainNER","isFork":false,"description":"Extracts domain entities, mainly named entities. The major element is a highly accurate Named Entity Recognizer for real-world data on Sports.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-04-27T17:20:05.990Z"}},{"type":"Public","name":"NER-Deep-Learning","owner":"DomainNER","isFork":false,"description":"Uses Deep Learning to identify named entities.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-04-27T01:44:06.313Z"}},{"type":"Public","name":"AnnotatedDataset","owner":"DomainNER","isFork":false,"description":"The code and required annotated dataset for 530k Tweets on FIFA World Cup 2018. NERs and Part-Of-Speech are tagged.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-04-18T18:01:53.728Z"}}],"repositoryCount":3,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"DomainNER repositories"}