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A Bayesian Model for Entity Type Disambiguation
2010Searching 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, 2022Daisuke Oba +3 more
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CluEval: A Python tool for evaluating clustering performance in named entity disambiguation
Software Impacts, 2023Jinseok Kim
exaly
Improving Entity Disambiguation Using Knowledge Graph Regularization
Lecture Notes in Computer Science, 2022Zhi Rui Tam, Hong-Han Shuai
exaly
A comparison of Named-Entity Disambiguation and Word Sense Disambiguation
Proceedings of the Language Resources and Evaluation Conference, 2016Angel X. Chang +3 more
openaire +2 more sources
Geographic Named Entity Recognition and Disambiguation in Mexican News using word embeddings
Expert Systems With Applications, 2021Alejandro Molina-Villegas +1 more
exaly
Entity disambiguation with context awareness in user-generated short texts
Expert Systems With Applications, 2020Jiaqi Yang, Yong-jun LI
exaly
Exploiting semantic similarity for named entity disambiguation in knowledge graphs
Expert Systems With Applications, 2018Ganggao Zhu, Carlos A. Iglesias
exaly
Entity disambiguation to Wikipedia using collective ranking
Information Processing and Management, 2016Ji Wu
exaly

