| PaddlePaddle/PaddleNLP |
10,908 |
|
0 |
19 |
about 2 years ago |
87 |
September 14, 2023 |
891 |
apache-2.0 |
Python |
| 👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc. |
| snipsco/snips-nlu |
3,796 |
|
8 |
5 |
almost 3 years ago |
34 |
January 15, 2020 |
66 |
apache-2.0 |
Python |
| Snips Python library to extract meaning from text |
| mit-nlp/MITIE |
2,778 |
|
0 |
0 |
over 3 years ago |
1 |
February 27, 2018 |
17 |
|
C++ |
| MITIE: library and tools for information extraction |
| zjunlp/DeepKE |
2,679 |
|
0 |
0 |
about 2 years ago |
111 |
September 21, 2023 |
2 |
mit |
Python |
| An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations. |
| crownpku/Information-Extraction-Chinese |
2,086 |
|
0 |
0 |
about 3 years ago |
0 |
|
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 |
| HarderThenHarder/transformers_tasks |
1,521 |
|
0 |
0 |
over 2 years ago |
0 |
|
54 |
|
Jupyter Notebook |
| ⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc. |
| eyurtsev/kor |
1,391 |
|
13 |
13 |
about 2 years ago |
14 |
October 17, 2023 |
31 |
mit |
Python |
| LLM(😽) |
| tstanislawek/awesome-document-understanding |
783 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
|
|
| A curated list of resources for Document Understanding (DU) topic |
| davidsbatista/Annotated-Semantic-Relationships-Datasets |
565 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
|
|
| A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English) |
| adobe/NLP-Cube |
521 |
|
1 |
1 |
almost 3 years ago |
24 |
October 18, 2021 |
2 |
apache-2.0 |
HTML |
| Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing |
