NLP-KG
Semantic Search

Field of Study:

Entity Resolution

Entity Resolution is the process of identifying and linking mentions of the same entity in texts or knowledge bases. It involves determining when two entities mentioned in texts or knowledge bases actually refer to the same thing, even if they are referred to in different ways. For example, "Barack Obama", "Obama", and "the former president" in texts and knowledge bases could all refer to the same person. Identifying and linking different representations of the same real-world entity (like a person, place, or thing) across various data sources helps in reducing data redundancy and improving the accuracy and reliability of a knowledge base.

Papers published in this field over the years:

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Publications for Entity Resolution

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