Large-scale Knowledge Graph Construction with Prompting

Overview

PromptKGC

Large-scale Knowledge Graph Construction with Prompting across tasks (predictive and generative), and modalities (language, image, vision + language, etc.)

GenKGC: link prediction as sequence-to-sequence generation for fast inference

KG-Prompt: data-efficient prompt learning-based knowledge graph completion

News

  • [Model Release] Jaunary, 2022: GenKGC - A sequence-to-sequence approach for knowledge graph completion.
  • [Model Release] January, 2022: KG-Prompt - A prompt learning-based approach for few-shot knowledge graph completion

Release

***** January, 2022: GenKGC | KG-Prompt release *****

  • GenKGC (Jaunary 31, 2020): GenKGC converts knowledge graph completion to sequence-to-sequence generation with pre-trained language model with relation-guided demonstration and entity-aware hierarchical decoding. It can obtain better or comparable performance than baselines, and achieve faster inference speed compared with previous methods with pre-trained language models. "From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer "
  • KG-Prompt (Jaunary 31, 2020): A prompt-tuning approach (knowledge collaborative fine-tuning) for low-resource knowledge graph completion. KG-Prompt leverages the structured knowledge to construct the initial prompt template and learn the optimal templates, labels and model parameters through a collaborative fine-tuning algorithm. It can obtain state-of-the-art few-shot performance on FB15K-237, WN18RR, and UMLS. "Knowledge Collaborative Fine-tuning for Low-resource Knowledge Graph Completion Journal of Software 2022"

Contact Information

For help or issues using the models, please submit a GitHub issue.

For other communications, please contact Ningyu Zhang.

Owner
ZJUNLP
NLP Group of Knowledge Engine Lab at Zhejiang University
ZJUNLP
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Summarization, translation, Q&A, text generation and more at blazing speed using a T5 version implemented in ONNX. This package is still in alpha stag

Abel 211 Dec 28, 2022
Autoregressive Entity Retrieval

The GENRE (Generative ENtity REtrieval) system as presented in Autoregressive Entity Retrieval implemented in pytorch. @inproceedings{decao2020autoreg

Meta Research 611 Dec 16, 2022
Natural Language Processing

NLP Natural Language Processing apps Multilingual_NLP.py start #This script is demonstartion of Mul

Ritesh Sharma 1 Oct 31, 2021
Facilitating the design, comparison and sharing of deep text matching models.

MatchZoo Facilitating the design, comparison and sharing of deep text matching models. MatchZoo 是一个通用的文本匹配工具包,它旨在方便大家快速的实现、比较、以及分享最新的深度文本匹配模型。 🔥 News

Neural Text Matching Community 3.7k Jan 02, 2023
✨Fast Coreference Resolution in spaCy with Neural Networks

✨ NeuralCoref 4.0: Coreference Resolution in spaCy with Neural Networks. NeuralCoref is a pipeline extension for spaCy 2.1+ which annotates and resolv

Hugging Face 2.6k Jan 04, 2023
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents [Project Page] [Paper] [Video] Wenlong Huang1, Pieter Abbee

Wenlong Huang 114 Dec 29, 2022
A machine learning model for analyzing text for user sentiment and determine whether its a positive, neutral, or negative review.

Sentiment Analysis on Yelp's Dataset Author: Roberto Sanchez, Talent Path: D1 Group Docker Deployment: Deployment of this application can be found her

Roberto Sanchez 0 Aug 04, 2021
A CSRankings-like index for speech researchers

Speech Rankings This project mimics CSRankings to generate an ordered list of researchers in speech/spoken language processing along with their possib

Mutian He 19 Nov 26, 2022
Unlimited Call - Text Bombing Tool

FastBomber Unlimited Call - Text Bombing Tool Installation On Termux

Aryan 6 Nov 10, 2022
NLP-SentimentAnalysis - Coursera Course ( Duration : 5 weeks ) offered by DeepLearning.AI

Coursera Natural Language Processing Specialization This repository contains material related to Coursera Natural Language Processing Specialization.

Nishant Sharma 1 Jun 05, 2022
Mkdocs + material + cool stuff

Modern-Python-Doc-Example mkdocs + material + cool stuff Doc is live here Features out of the box amazing good looking website thanks to mkdocs.org an

Francesco Saverio Zuppichini 61 Oct 26, 2022
LSTM based Sentiment Classification using Tensorflow - Amazon Reviews Rating

LSTM based Sentiment Classification using Tensorflow - Amazon Reviews Rating (Dataset) The dataset is from Amazon Review Data (2018)

Immanuvel Prathap S 1 Jan 16, 2022
Text-Based zombie apocalyptic decision-making game in Python

Inspiration We shared university first year game coursework.[to gauge previous experience and start brainstorming] Adapted a particular nuclear fallou

Amin Sabbagh 2 Feb 17, 2022
A collection of GNN-based fake news detection models.

This repo includes the Pytorch-Geometric implementation of a series of Graph Neural Network (GNN) based fake news detection models. All GNN models are implemented and evaluated under the User Prefere

SafeGraph 251 Jan 01, 2023
Extracting Summary Knowledge Graphs from Long Documents

GraphSum This repo contains the data and code for the G2G model in the paper: Extracting Summary Knowledge Graphs from Long Documents. The other basel

Zeqiu (Ellen) Wu 10 Oct 21, 2022
MASS: Masked Sequence to Sequence Pre-training for Language Generation

MASS: Masked Sequence to Sequence Pre-training for Language Generation

Microsoft 1.1k Dec 17, 2022
A fast and lightweight python-based CTC beam search decoder for speech recognition.

pyctcdecode A fast and feature-rich CTC beam search decoder for speech recognition written in Python, providing n-gram (kenlm) language model support

Kensho 315 Dec 21, 2022
Machine Learning Course Project, IMDB movie review sentiment analysis by lstm, cnn, and transformer

IMDB Sentiment Analysis This is the final project of Machine Learning Courses in Huazhong University of Science and Technology, School of Artificial I

Daniel 0 Dec 27, 2021
Suite of 500 procedurally-generated NLP tasks to study language model adaptability

TaskBench500 The TaskBench500 dataset and code for generating tasks. Data The TaskBench dataset is available under wget http://web.mit.edu/bzl/www/Tas

Belinda Li 20 May 17, 2022
Ecco is a python library for exploring and explaining Natural Language Processing models using interactive visualizations.

Visualize, analyze, and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BER

Jay Alammar 1.6k Dec 25, 2022