microsoft/vert-papers
This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).
This project offers research code and datasets for advanced natural language processing tasks focused on understanding entities. It takes raw text or tabular data as input and aims to precisely identify and link real-world entities mentioned within it, like people, organizations, or locations. Information architects, data scientists, and AI researchers working on knowledge base construction or complex data interpretation would find this beneficial.
281 stars. No commits in the last 6 months.
Use this if you need to extract and connect specific entities from unstructured text or interpret the meaning of data within tables, especially across different languages.
Not ideal if you are looking for a ready-to-use, off-the-shelf application rather than research-oriented code and datasets for experimentation.
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Mar 16, 2024
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