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entity-linking

Entity resolution (also known as data matching, data linkage, record linkage, and many other terms) is the task of finding entities in a dataset that refer to the same entity across different data sources (e.g., data files, books, websites, and databases). Entity resolution is necessary when joining different data sets based on entities that may or may not share a common identifier (e.g., database key, URI, National identification number), which may be due to differences in record shape, storage location, or curator style or preference.

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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).

  • Updated Mar 16, 2024
  • Python

药知识图谱自动问こたえけい统实现,包括ほうかつ构建识图谱、もと于知识图谱的流水りゅうすい线问こたえ以及ぜんはし实现。实体识别(もと于词てん+BERT_CRF)、实体链接(Sentence-BERT做匹はい)、图识别(もと于提问词+领域词词てん)。

  • Updated Mar 9, 2022
  • JavaScript

Created by Halbert L. Dunn

Released 1946

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artificial-intelligence nlp