Information Extraction is a web application that identifies named entities and relationships in user-provided text. It presents the extracted connections as a visual graph and is intended for NLP researchers, developers, and analysts.
In the Computer vision, OCR & document AI space, Information Extraction takes a focused approach. It focuses on identifying entities and relationships in text without manually annotating or mapping connections. It is built as a consumer product for researchers and developers working with natural language processing. Information Extraction is free to use. It ships for the web and embeddable surfaces.
It is developed by relik-ie. Key capabilities include text input, entity extraction, and relation extraction.
Summary written by a language model from the project’s public pages.
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