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Deep Semantic Entity Linking

2021
Named entity linking systems are an essential component in text mining pipelines, mapping entity mentions in the text to the appropriate knowledge base identifiers. However, the current systems have several limitations affecting their performance: the lack of context of the entity mentions, the incomplete disambiguation graphs and the lack of ...
openaire   +1 more source

Predicting Guiding Entities for Entity Aspect Linking

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Shubham Chatterjee, Laura Dietz
openaire   +1 more source

Linking Entities across Relations and Graphs

ACM Transactions on Database Systems
This article proposes a notion of parametric simulation to link entities across a relational database 𝒟 and a graph G . Taking functions and thresholds for measuring vertex closeness, path associations, and important properties as parameters, parametric simulation identifies tuples t in 𝒟 and
Wenfei Fan   +4 more
openaire   +1 more source

Blocking and Filtering Techniques for Entity Resolution

ACM Computing Surveys, 2021
George Papadakis   +2 more
exaly  

An Overview of End-to-End Entity Resolution for Big Data

ACM Computing Surveys, 2021
Vasilis Efthymiou   +2 more
exaly  

Enhancing Entity Linking with Contextualized Entity Embeddings

2022
Zhenran Xu   +3 more
openaire   +1 more source

Entity linking for zbMATH Open

European Mathematical Society Magazine
Marcel Fuhrmann   +2 more
openaire   +1 more source

Semantic Video Entity Linking

2022
Grams, Tim   +4 more
openaire   +1 more source

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