A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

Open Information Extraction (OpenIE) and Open Relation Extraction (ORE) papers and data.

Python wrapper for OpenIE5

EMNLP 2019: CaRe: Open Knowledge Graph Embeddings

PHP adapter for Stanford CoreNLP

MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models

The code for the paper 'DetIE: Multilingual Open Information Extraction Inspired by Object Detection' by Vasilkovsky et al.

A library for generating OpenIE tuples from QA pairs (e.g. the SQuAD dataset).

Builds a knowledge graph from the [COVID-19 Open Research Dataset (CORD-19)](https://pages.semanticscholar.org/coronavirus-research) dataset.

create concept map from textbook data

Extract Structured data(knowledge graph) from unstructured ESG data.

Server for the ClausIE OpenIE parser

Neural OpenIE in Pytorch (in-progress/unpublished)

MTP @ IITD

Paper showcase for a fast QA method using OpenIE appoaches and embedding models, a modified version of MoviesQA is published.

Simple Java project demonstrating use of OpenIE-4 and Stanford OpenIE

A benchmark for Open IE tools