beader / tianchi_nl2sql
追一科技首届中文NL2SQL挑战赛决赛第3名方案+代码
☆549Updated 5 months ago
Alternatives and similar repositories for tianchi_nl2sql
Users that are interested in tianchi_nl2sql are comparing it to the libraries listed below
Sorting:
- 阿里天池首届中文NL2SQL挑战赛top6☆213Updated 5 years ago
- ☆365Updated last year
- NL2SQL competition dataset☆200Updated last year
- 天池nl2sql冠军方案☆300Updated 5 years ago
- 在Keras下微调Bert的一些例子;some examples of bert in keras☆655Updated 5 years ago
- The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。☆214Updated 3 years ago
- 天池 疫情相似句对判定大赛 线上第一名方案☆433Updated 4 years ago
- Comparison of Chinese Named Entity Recognition Models between NeuroNER and BertNER☆332Updated 5 years ago
- 机器阅读理解 冠军/亚军代码及中文预训练MRC模型☆737Updated 2 years ago
- 中文知识库问答代码,CCKS2019 CKBQA评测第四名解决方案☆477Updated 4 years ago
- 以词为基本单位的中文BERT☆467Updated 3 years ago
- scripts and baselines for CSpider: Chinese semantic parsing and text-to-SQL challenge☆182Updated 4 years ago
- 2019年百度的三元组抽取比赛,“科学空间队”源码☆768Updated 4 years ago
- ccks baidu entity link 实体链接 第一名☆847Updated last year
- 使用预训练语言模型ALBERT做中文NER☆475Updated 4 years ago
- a bert for retrieval and generation☆857Updated 4 years ago
- ccf 2020 qa match competition top1☆266Updated 4 years ago
- Modify Chinese text, modified on LaserTagger Model. 文本复述,基于lasertagger做中文文本数据增强。☆320Updated last year
- BERT模型从训练到部署☆526Updated 4 years ago
- SimBERT升级版(SimBERTv2)!☆441Updated 3 years ago
- Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法(论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained La…☆427Updated 4 years ago
- 中文自然语言到mysql语句的转换☆43Updated 5 years ago
- CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition☆1,484Updated 2 years ago
- 使用预训练语言模型BERT做中文NER☆953Updated 5 years ago
- ☆441Updated 2 weeks ago
- code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer☆1,009Updated 3 years ago
- 中文问题句子相似度计算比赛及方 案汇总☆300Updated 4 years ago
- ChineseNER based on BERT, with BiLSTM+CRF layer☆452Updated 3 years ago
- 北京航空航天大学大数据高精尖中心自然语言处理研究团队对信息抽取领域的调研。包括实体识别,关系抽取,属性抽取等子任务,每类子任务分别对学术界和工业界进行调研。☆468Updated 3 years ago
- pytorch中文语言模型预训练☆389Updated 4 years ago