基于Pytorch + BERT的抽取式机器阅读理解
☆20Dec 8, 2022Updated 3 years ago
Alternatives and similar repositories for chinese_extraction_mrc
Users that are interested in chinese_extraction_mrc are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- finetune chinese bert with sentence-transformers☆11May 8, 2021Updated 5 years ago
- DuReader bert Chinese MRC☆14Nov 18, 2022Updated 3 years ago
- PyTorch - Albert Large V2, Bert Base Uncased, Bert Large Uncased WWM Finetuned Squad, Distil Roberta Base, Roberta Base Squad2, Roberta l…☆11Jul 10, 2020Updated 6 years ago
- 中文词义消歧项目(Chinese WSD),基于LSTM + ATTENTION模型架构,Pytorch实现。代码简单,上手容易。☆18May 18, 2022Updated 4 years ago
- 中文wiki百科QA阅读理解问答系统,使用了CCKS2016数据的NER模型和CMRC2018的阅读理解模型,还有W2V词向量搜索,使用torchserve部署☆89Jun 4, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 2020 科大讯飞 事件抽取挑战赛☆21Aug 13, 2020Updated 6 years ago
- 中国法研杯 CAIL 2019☆13Jun 17, 2019Updated 7 years ago
- 🍎Wende Chinese QA system (experimental)☆10Jun 1, 2021Updated 5 years ago
- 使用BERT解决lic2019机器阅读理解☆89May 31, 2019Updated 7 years ago
- 基于RNN的中国古诗词生成模型(SJTU CS382 Course Project)☆12Dec 27, 2018Updated 7 years ago
- 基于预训练模型 BERT 的阅读理解☆96Jul 17, 2026Updated 3 months ago
- AI Challenger 2018 阅读理解赛道代码分享☆20Dec 6, 2018Updated 7 years ago
- 复现论文《Distilling Task-Specific Knowledge from BERT into Simple Neural Networks》☆16Jun 13, 2021Updated 5 years ago
- noting something maybe useful in the future.☆10Jul 12, 2020Updated 6 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- 2019 CAIL 法研杯机器阅读理解挑战赛 第8名 解决方案☆16Jul 13, 2019Updated 7 years ago
- 问答系统☆13Apr 3, 2019Updated 7 years ago
- a sketch-based system for semantic parsing☆10Nov 21, 2022Updated 3 years ago
- 第一届“讯飞杯”中文机器阅读理解评测参考模型☆62Sep 3, 2017Updated 9 years ago
- Build a Chinese conversational assistant robot with RASA(构建中文多轮任务型对话机器人)☆10Apr 1, 2020Updated 6 years ago
- 基于Pytorch+BERT+CRF的NLP序列标注模型,目前包括分词,词性标注,命名实体识别等☆63Dec 8, 2022Updated 3 years ago
- Final project of 2018 WebDatamining in PKU, Automatic QA system based on Chinese WIKI. (基于中文wiki的自动问答系统)☆11Mar 1, 2019Updated 7 years ago
- 机器阅读理解 冠军/亚军代码及中文预训练MRC模型☆742Nov 19, 2022Updated 3 years ago
- Multi-span Style Extraction for Generative Reading Comprehension☆10Apr 2, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- 闲聊机器人☆11Aug 12, 2020Updated 6 years ago
- ECNU ICA seminar materials☆14Nov 23, 2022Updated 3 years ago
- 《机器阅读理解:算法与实践》代码☆157Jul 25, 2024Updated 2 years ago
- 法研杯CAIL2019阅读理解赛题参赛模型☆43Aug 25, 2019Updated 7 years ago
- Resources for the paper "PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction"☆13Jul 26, 2022Updated 4 years ago
- 基于BERT-CRF的命名实体识别模型☆13Mar 14, 2022Updated 4 years ago
- Bi-directional LSTM with attention for question answering☆15Nov 28, 2025Updated 11 months ago
- ☆10Mar 24, 2023Updated 3 years ago
- 问答系统前后端☆15Jan 25, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 使用fastNLP架构简单利用Bert-Bi-LSTM-CRF实现中文NER☆15Sep 25, 2020Updated 6 years ago
- Resources for the our ACL2020 paper, Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness☆40Nov 8, 2020Updated 5 years ago
- ccks2020 NER competitions☆119Oct 15, 2020Updated 6 years ago
- 百度2021年语言与智能技术竞赛机器阅读理解torch版baseline☆52Apr 25, 2021Updated 5 years ago
- memo & blog☆17Feb 8, 2015Updated 11 years ago
- Accelerating the development of question-answering systems based on BERT and TF 2.0☆20Feb 1, 2020Updated 6 years ago
- ☆16Sep 17, 2021Updated 5 years ago