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A Bayesian Model for Entity Type Disambiguation

2010
Searching for information about individual entities such as persons, locations, events, is a major activity in Internet search. General purpose search engines are the most commonly used access point to entity-centric information. In this context, keyword queries are the primary means of retrieving information about specific entities.
Bazzanella, Barbara   +2 more
openaire   +3 more sources

Entity Embedding Completion for Wide-Coverage Entity Disambiguation

Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Daisuke Oba   +3 more
openaire   +2 more sources

Improving Entity Disambiguation Using Knowledge Graph Regularization

Lecture Notes in Computer Science, 2022
Zhi Rui Tam, Hong-Han Shuai
exaly  

A comparison of Named-Entity Disambiguation and Word Sense Disambiguation

Proceedings of the Language Resources and Evaluation Conference, 2016
Angel X. Chang   +3 more
openaire   +2 more sources

Geographic Named Entity Recognition and Disambiguation in Mexican News using word embeddings

Expert Systems With Applications, 2021
Alejandro Molina-Villegas   +1 more
exaly  

Entity disambiguation

2023
FIRAT AYKUT   +2 more
openaire   +1 more source

Entity disambiguation with context awareness in user-generated short texts

Expert Systems With Applications, 2020
Jiaqi Yang, Yong-jun LI
exaly  

Exploiting semantic similarity for named entity disambiguation in knowledge graphs

Expert Systems With Applications, 2018
Ganggao Zhu, Carlos A. Iglesias
exaly  

Entity disambiguation to Wikipedia using collective ranking

Information Processing and Management, 2016
Ji Wu
exaly  

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