Open-IE-Papers and oie-resources
These are complementary resources: one focuses on academic papers and datasets for OpenIE/ORE research, while the other curates a broader collection encompassing papers, implementations, and data—making them useful together for both understanding the theory and accessing practical tools in the open information extraction space.
About Open-IE-Papers
NPCai/Open-IE-Papers
Open Information Extraction (OpenIE) and Open Relation Extraction (ORE) papers and data.
This resource provides a curated list of research papers and datasets for Open Information Extraction (OpenIE) and Open Relation Extraction (ORE). It helps anyone working with unstructured text to automatically pull out specific facts and relationships. Researchers or practitioners looking to understand the state-of-the-art or find training data for information extraction tasks will find this useful.
About oie-resources
gkiril/oie-resources
A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.
This is a curated collection of resources for Open Information Extraction (OIE), a technology that automatically pulls facts from unstructured text. It takes in research papers, code, datasets, and applications, and provides a structured list of these resources organized by topic and year. This is intended for researchers, data scientists, and anyone working with natural language processing or knowledge graph construction.
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