megemini / -_megemini-Links
瑞金医院知识图谱大赛总决赛第四名比赛攻略_megemini队
☆34Updated 6 years ago
Alternatives and similar repositories for -_megemini-
Users that are interested in -_megemini- are comparing it to the libraries listed below
Sorting:
- ☆17Updated 6 years ago
- 天池瑞金医院MMC人工智能辅助构建知识图谱大赛初赛,糖尿病相关医疗命名实体识别,基于pycrfsuite实现。We provide a solution for preliminary contest of Tianchi Ruijin Hospital MMC Artif…☆73Updated 6 years ago
- CCKS 2019 Task 2: Entity Recognition and Linking☆94Updated 5 years ago
- CCKS2019面向金融领域的事件主体抽取☆46Updated 6 years ago
- 面向金融领域的事件主体抽取(ccks2019),一个baseline☆119Updated 6 years ago
- ☆58Updated 6 years ago
- CCKS2019-人物关系抽取☆74Updated 6 years ago
- CCKS 2018 开放领域的中文问答任务 1st 解决方案☆110Updated 6 years ago
- 达观算法比赛ner任务,从重新训练bert,到finetune预测。☆74Updated 2 years ago
- Relation Extraction 中文关系提取☆73Updated 6 years ago
- 实体链接demo☆65Updated 6 years ago
- CCF BDCI 金融信息负面及主体判定 冠军代码☆105Updated 5 years ago
- 2019百度语言与智能技术竞赛信息抽取赛代5名代码☆69Updated 6 years ago
- 基于条件随机场的医疗电子病例的命名实体识别☆113Updated 7 years ago
- 一个关于百度2019语言与智能技术竞赛信息抽取 (http://lic2019.ccf.org.cn/kg) 的简单Demo, 模型采用BERT+CNN ( https://github.com/Wangpeiyi9979/IE-Bert-CNN )。 Demo使用Fl…☆125Updated 6 years ago
- 2019达观杯 第六名代码☆43Updated 2 years ago
- 瑞金医院MMC人工智能辅助构建知识图谱大赛初赛☆140Updated 6 years ago
- 瑞金医院MMC人工智能辅助构建知识图谱大赛复赛☆181Updated 6 years ago
- A LSTM+CRF model for the seq2seq task for Medical named entity recognition in ccks2017☆80Updated 8 years ago
- 相似案例匹配☆46Updated 5 years ago
- CHIP 2019平安医疗科技疾病问答迁移学习比赛baseline,rank7☆27Updated 5 years ago
- 基于句法分析的命名实体关系抽取程序☆65Updated 9 years ago
- 依存句法实现关系三元组的自动抽取☆99Updated 3 years ago
- ☆17Updated 6 years ago
- 实现了一下multi-head-selection联合关系实体抽取☆30Updated 6 years ago
- 2020语言与智能技术竞赛:关系抽取任务(https://aistudio.baidu.com/aistudio/competition/detail/31?lang=zh_CN)☆24Updated 5 years ago
- Keras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALB…☆12Updated 2 years ago
- ccks_2019_百度实体链接技术比赛_第一名解决方案☆57Updated 5 years ago
- A Chinese word segment model based on BERT, F1-Score 97%☆93Updated 6 years ago
- 电子病历实体命名识别☆37Updated 6 years ago