Easy-to-use and powerful LLM and SLM library with awesome model zoo.
-
Updated
Mar 31, 2025 - Python
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Snips Python library to extract meaning from text
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
MITIE: library and tools for information extraction
Deep neural network to extract intelligent information from invoice documents.
⭐️ 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
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
LLM(😽)
A curated list of resources for Document Understanding (DU) topic
This Script will help you to gather information about your victim or friend.
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Insightful Tutorials and Papers about Knowledge Graphs
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)
[ACL 2020] A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
AIL framework - Analysis Information Leak framework
A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)
LLM-based ontological extraction tools, including SPIRES
PaddleNLP UIE模型的PyTorch版实现
Uscrapper Vanta: Dive deeper into the web with this powerful open-source tool. Extract valuable insights with ease and efficiency, from both surface and deep web sources. Empower your data mining and analysis with Vanta's advanced capabilities. Fast, reliable, and user-friendly, Uscrapper Vanta is the ultimate choice for researchers and analysts.
Add a description, image, and links to the information-extraction topic page so that developers can more easily learn about it.
To associate your repository with the information-extraction topic, visit your repo's landing page and select "manage topics."