👑 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.

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

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

MITIE: library and tools for information extraction

Snips Python library to extract meaning from text

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.

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

A curated list of resources for Document Understanding (DU) topic

A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)

Large suite of N-body simulations

Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

Automatically extract chemical information from scientific documents

Distantly Supervised Relation Extraction

Insightful Tutorials and Papers about Knowledge Graphs

PyTorch implementation of the position-aware attention model for relation extraction

Medical Concept Annotation Tool

A list of NLP resources focused on event extraction task