Open Information Extraction

Open Information Extraction is a task in natural language processing aimed at generating structured, machine-readable information representations from text, typically in the form of triples or n-ary propositions. The goal of this task is to automatically extract entities and their relationships from unstructured natural language texts without predefined relation types or schemas. Open Information Extraction holds significant value in applications such as knowledge graph construction, semantic search, and intelligent question-answering systems.