Eajack / NLP-ML_CS-Cpp_ReviewLinks
NLP/ML面试各类资料链接 汇总(主要Github收集)
☆11Updated 5 years ago
Alternatives and similar repositories for NLP-ML_CS-Cpp_Review
Users that are interested in NLP-ML_CS-Cpp_Review are comparing it to the libraries listed below
Sorting:
- NLP中文预训练模型泛化能力挑战赛(https://tianchi.aliyun.com/competition/entrance/531841/introduction?spm=5176.12281957.1004.2.7a883eafYhYhOq)☆38Updated 4 years ago
- NLP 相关岗位 笔试面试资源汇总☆16Updated 4 years ago
- Worth-reading papers and related resources on Named Entity Recognition (NER). 值得一读的命名实体识别论文与相关资源集合☆40Updated 4 years ago
- 全球人工智能技术创新大赛-赛道三:小布助手对话短文本语义匹配☆38Updated 4 years ago
- 2021语言与智能技术竞赛:机器阅读理解任务☆31Updated 4 years ago
- Chinese Machine Reading 2021海华AI挑战赛·中文阅读理解·技术组·第 三名☆21Updated 4 years ago
- JDDC 2019 并列亚军(第三名)“网数ICT小分队”的检索模型部分☆47Updated 2 years ago
- ☆33Updated 4 years ago
- multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification,seq2seq,attention,beam search☆33Updated 3 years ago
- ☆32Updated 3 years ago
- 本项目是NLP 领域一些任务的基准模型实现,包括文本分类、命名实体识别、实体关系抽取、NL2SQL、CKBQA以及BERT的各种下游任务应用。☆48Updated 4 years ago
- 2020语言与智能技术竞赛:事件抽取任务方案代码☆28Updated 2 years ago
- 记录NLP、CV、搜索、推荐等AI岗位最新情况。☆28Updated 2 years ago
- 疫情期间网民情绪识别比赛baseline,使用BERT进行端到端的fine-tuning,datafountain平台,平台评测F1值0.716。☆36Updated 5 years ago
- NLP中文预训练模型泛化能力挑战赛☆43Updated 5 years ago
- CGED & CSC☆23Updated 5 years ago
- pytorch版unilm模型☆27Updated 4 years ago
- 本项目是CCKS2020实体链指比赛baseline(pytorch)☆19Updated 5 years ago
- sodic2021 法律咨询智能问答 Baseline 线上35+☆18Updated 4 years ago
- 2021海华AI挑战赛·中文阅读理解·技术组☆21Updated 4 years ago
- 基于魔改官方 PaddleHub Baseline 的 2020语言与智能技术竞赛:机器阅读理解任务(DuReader Robust)解决方案(终榜排名 15)| 15th solution of the 2020 language and intelligent tech…☆68Updated 3 years ago
- 天池疫情公益文本相似对比大赛☆20Updated 5 years ago
- lic2020关系抽取比赛,使用Pytorch实现苏神的模型。☆103Updated 5 years ago
- 百度2021年语言与智能 技术竞赛机器阅读理解torch版baseline☆53Updated 4 years ago
- 使用BERT解决lic2019机器阅读理解☆90Updated 6 years ago
- ccks2021事件抽取比赛☆30Updated 4 years ago
- The source code of paper "An Effective System for Multi-format Information Extraction".☆18Updated 4 years ago
- 端到端的基于知识图谱的问答系统,分为实体识别和关系分类两部,在BERT基础上做多任务联合训练。☆31Updated 6 years ago
- ☆45Updated 4 years ago
- HMM\CRF\BERT-CRF\BILSTM-CRF\BERTBILSTMCRF\XLNETBILSTMCRF☆34Updated 3 years ago