{"payload":{"header_redesign_enabled":false,"results":[{"id":"179268867","archived":false,"color":"#3572A5","followers":278,"has_funding_file":false,"hl_name":"yuanxiaosc/Schema-based-Knowledge-Extraction","hl_trunc_description":"Code for http://lic2019.ccf.org.cn/kg 信息抽取。使用基于 BERT 的实体抽取和关系抽取的端到端的联合模型。","language":"Python","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":179268867,"name":"Schema-based-Knowledge-Extraction","owner_id":16183570,"owner_login":"yuanxiaosc","updated_at":"2019-05-14T13:05:58.809Z","has_issues":true}},"sponsorable":false,"topics":["tensorflow","joint-models","relation-extraction","entity-extraction","competition-code"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":92,"errors":[],"result_count":1,"facets":[],"protected_org_logins":[],"topics":null,"query_id":"","logged_in":false,"sign_up_path":"/signup?source=code_search_results","sign_in_path":"/login?return_to=https%3A%2F%2Fgithub.com%2Fsearch%3Fq%3Drepo%253Ayuanxiaosc%252FSchema-based-Knowledge-Extraction%2B%2Blanguage%253APython","metadata":null,"csrf_tokens":{"/yuanxiaosc/Schema-based-Knowledge-Extraction/star":{"post":"ihmlZBzrpqs1fbKs7bKOwBmAhidUidInwyc4tF4zVLns_i12KwNmq0guOXXj4vKIzw5lqvN7ekHDfpPJ82hnHA"},"/yuanxiaosc/Schema-based-Knowledge-Extraction/unstar":{"post":"qKA3dxjdvp2RA6FGk_lyCeMRQaWkL4ACM66vJKwll5ll-eyXMqluRXbYv_6RNaacRxDeNjX3jBZm6le3bbbzHg"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"57Ch35005EkHyBHs85feR_uZpp0J9KKslXCfyLuMKu8KUJVIOTM1Ps8FjOyDCLwxEUu_NZSPxSyjKfIaAGqpNA"}}},"title":"Repository search results"}