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A hybrid approach for Arabic named entity disambiguation
Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, 2015This research aims at tackling the problem of Arabic Named Entity Disambiguation (NED) through an enhanced approach of information extraction from DBpedia and Arabic Wikipedia using query label expansion and text similarity techniques.
Mohammad Al-Smadi +5 more
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Named Entity Disambiguation Based on Explicit Semantics
2012In our work we present an approach to the Named Entity Disambiguation based on semantic similarity measure. We employ existing explicit semantics present in datasets such as Wikipedia to construct a disambiguation dictionary and vector---based word model. The analysed documents are transformed into semantic vectors using explicit semantic analysis. The
Martin Jacala, Jozef Tvarozek
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Robust Disambiguation of Named Entities in Text.
2011Disambiguating named entities in natural-language text maps mentions of ambiguous names onto canonical entities like people or places, registered in a knowledge base such as DBpedia or YAGO. This paper presents a robust method for collective disambiguation, by harnessing context from knowledge bases and using a new form of coherence graph.
Hoffart, J. +8 more
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Location-Aware Named Entity Disambiguation
2022Named Entity Disambiguation (NED) and linking has been traditionally evaluated on natural language content that is both well-written and contextually rich. However, many NED approaches display poor performance on text sources that are short and noisy.
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Named Entity Extraction with Conjunction Disambiguation
Proceedings of the Language Resources and Evaluation Conference, 2006Pawel P. Mazur, Robert Dale
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CluEval: A Python tool for evaluating clustering performance in named entity disambiguation
Software Impacts, 2023Jinseok Kim
exaly
Multimodal Knowledge Learning for Named Entity Disambiguation
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022Dongjie Zhang, Longtao Huang
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Geographic Named Entity Recognition and Disambiguation in Mexican News using word embeddings
Expert Systems With Applications, 2021Alejandro Molina-Villegas +1 more
exaly
A comparison of Named-Entity Disambiguation and Word Sense Disambiguation
Proceedings of the Language Resources and Evaluation Conference, 2016Angel X. Chang +3 more
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Named entity disambiguation in biomedical literature
2019The presence of conflict of interest in biomedical literature is a space of increasing interest in public health, due to concerns of entities driving research outcomes for their benefit. However, conflict of interest, and the potential influence that it exerts on research outcomes, remains a difficult phenomenon to capture and investigate on a large ...
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