Awesome Relation Extraction
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Nlp_paper_study | 3,373 | 8 months ago | 1 | C++ | ||||||
| 该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记 | ||||||||||
| Deepke | 2,679 | 3 months ago | 111 | September 21, 2023 | 2 | mit | Python | |||
| An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations. | ||||||||||
| Information Extraction Chinese | 2,086 | a year ago | 118 | Python | ||||||
| Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取 | ||||||||||
| Knowledge Graphs | 1,599 | 2 years ago | JavaScript | |||||||
| A collection of research on knowledge graphs | ||||||||||
| Bert4torch | 1,035 |  | 1 | 3 months ago | 35 | December 09, 2023 | 21 | mit | Python | |
| An elegent pytorch implement of transformers | ||||||||||
| Awesome Relation Extraction | 831 | 2 years ago | 2 | |||||||
| 📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP). | ||||||||||
| Lightnlp | 725 | 3 years ago | 17 | December 14, 2020 | 7 | apache-2.0 | Python | |||
| 基于Pytorch和torchtext的自然语言处理深度学习框架。 | ||||||||||
| Fewrel | 716 | 2 years ago | 15 | mit | Python | |||||
| A Large-Scale Few-Shot Relation Extraction Dataset | ||||||||||
| Promptkg | 561 | 4 months ago | 6 | April 30, 2023 | mit | Python | ||||
| PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list. | ||||||||||
| Chatie | 460 | 8 months ago | 6 | other | Python | |||||
| official repository for ChatIE paper and a tool of IE using ChatGPT. Note: we set defaul openai key. If keys exceed plan and are invalid, please tell us. The response speed depends on openai. ( sometimes, the official is too crowded and the speed/model will be slow/overloaded.) | ||||||||||
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