Pull structured facts out of unstructured text: relations, events, keywords and keyphrases, ready to feed into databases and knowledge graphs.
ranked by GitHub stars · updated Nov 12, 2026
▲ +55 ★ this week
The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. 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 slow)
▲ +41 ★ this week
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
▲ +28 ★ this week
Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
▲ +19 ★ this week
Extract structured data and insights from documents using LLMs and decision models
▲ +10 ★ this week
LLM-based ontological extraction tools, including SPIRES
▲ +8 ★ this week
AIL framework - Analysis Information Leak framework
▲ +6 ★ this week
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Extract Keywords from sentence or Replace keywords in sentences.
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
An Open-Source Package for Neural Relation Extraction (NRE)
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策
▲ +41 ★ this week
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
▲ +28 ★ this week
Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
Minimal keyword extraction with BERT
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
Snips Python library to extract meaning from text
MITIE: library and tools for information extraction
Deep neural network to extract intelligent information from invoice documents.
文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
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
▲ +19 ★ this week
Extract structured data and insights from documents using LLMs and decision models
Single-document unsupervised keyword extraction
▲ +2 ★ this week
A collection of research on knowledge graphs
▲ +6 ★ this week
knowledge graph知识图谱,从零开始构建知识图谱
▲ +1 ★ this week
Python Keyphrase Extraction module
An elegent pytorch implement of transformers
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
▲ +10 ★ this week
LLM-based ontological extraction tools, including SPIRES
Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
▲ +8 ★ this week
AIL framework - Analysis Information Leak framework
Must-read papers on neural relation extraction (NRE)
▲ +55 ★ this week
The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. 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 slow)
▲ +1 ★ this week
基于Pytorch和torchtext的自然语言处理深度学习框架。
Anand Kaniyaar Sriranga Prasad, Avinash Holenarasipur Nagendra, Mohan Raghavan
💬 22 pages, 15 figures, 4 tables
Clarisse Bardiot, Bernard Jacquemin, Jacob Hart +5
Zhefan Wang, Da Li, Keping Bi +1
Sumin Jo, Edward Choi
