shiningliang / MRC2018
2018百度机器阅读理解技术竞赛
☆166Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for MRC2018
- 基于BERT的中文序列标注☆142Updated 6 years ago
- QANet+DuReader中文机器阅读理解☆223Updated 6 years ago
- use ELMo in chinese environment☆104Updated 6 years ago
- 2019年百度的实体链指比赛(ccks2019),一个baseline☆114Updated 5 years ago
- 2019年百度的三元组抽取比赛,一个baseline☆210Updated 5 years ago
- AI Challenger 2018 观点型问题阅读理解 复赛第8名 解决方案 (8th place of AI Challenger 2018 MRC)☆91Updated 5 years ago
- 利用预训练的中文模型实现基于bert的语义匹配模型 数据集为LCQMC官方数据☆193Updated 4 years ago
- Deep contextualized word representations for Chinese☆152Updated 5 years ago
- 2018-JDDC大赛第4名的解决方案☆238Updated 6 years ago
- 2019语言与智能技术竞赛-基于知识图谱的主动聊天☆116Updated 5 years ago
- keras implement of dgcnn for reading comprehension☆165Updated 5 years ago
- 中文预训练XLNet模型: Pre-Trained Chinese XLNet_Large☆230Updated 5 years ago
- CCL2018客服领域用户意图分类冠军1st方案☆148Updated 2 years ago
- ☆122Updated 7 years ago
- 面向金融领域的事件主体抽取(ccks2019),一个baseline☆118Updated 5 years ago
- 2019年百度的实体链接比赛,“科学空间队”源码☆110Updated 5 years ago
- 法研杯2019 阅读理解赛道 top3☆150Updated last year
- transformer crf 命名实体识别☆106Updated 5 years ago
- Neural word segmentation with rich pretraining, code for ACL 2017 paper☆166Updated 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 last year
- 中文预训练模型生成字向量学习,测试BERT,ELMO的中文效果☆97Updated 4 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) 模型, 模型采用BERT+CNN。DEMO地址 https://github.com/Wangpeiyi9979/InformationExtractionDem…☆187Updated 5 years ago
- Bert finetune for CMRC2018, CJRC, DRCD, CHID, C3☆183Updated 4 years ago
- 使用BERT模型进行文本分类,相似句子判断,以及词性标注☆87Updated 5 years ago
- Byte Cup 2018 International Machine Learning Contest (3rd prize)☆77Updated 2 years ago
- 基于capsule的观点型阅读理解模型☆89Updated 5 years ago
- Rank2 solution (no-BERT) for 2019 Language and Intelligence Challenge - DuReader2.0 Machine Reading Comprehension.☆128Updated 5 years ago
- ☆329Updated 5 years ago
- seq2seq+attention model for Chinese textsum☆42Updated 6 years ago
- 2019 语言与智能技术竞赛-知识驱动对话 B榜第5名源码和模型☆25Updated 4 years ago