Lists (6)
Stars
Benchmark datasets, data loaders, and evaluators for graph machine learning
DeepIE: Deep Learning for Information Extraction
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
🤖 A Python library for learning and evaluating knowledge graph embeddings
ChatYuan: Large Language Model for Dialogue in Chinese and English
DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.
ChatReviewer: 使用ChatGPT分析论文优缺点，提出改进建议
Unified Structure Generation for Universal Information Extraction
LibKGE - A knowledge graph embedding library for reproducible research
This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic p…
[WWWJ 2024] LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
[Tool] For Knowledge Graph Representation Learning
Several knowledge graph representation algorithms implemented with pytorch
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
Pytorch implementation of baseline models of KQA Pro, a large-scale dataset of complex question answering over knowledge base.
A new CardEst Benchmark to Bridge AI and DBMS
The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"
This is the code for our ACL 2019 paper "Open Domain Event Extraction Using Neural Latent Variable Models"
Source code for the EMNLP 2020 paper "Cold-Start and Interpretability: Turning Regular Expressions intoTrainable Recurrent Neural Networks"
Simple yet SoTA Knowledge Graph Embeddings.
ConMask model described in paper Open-world Knowledge Graph Completion.
Knowledge Graph Extension for Python - Team Project 2020 @ Uni Mannheim
Source code and datasets for ACL 2020 paper: Neighborhood Matching Network for Entity Alignment.
DB-BERT tunes database systems for optimal performance, using tuning hints mined from text.