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A Bi-lingual chatbot implementation for pandemic response using the transformer-based approach. [PDF]
PLOS Digit HealthAtwine MT +9 more
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Clinical insights: A comprehensive review of language models in medicine. [PDF]
PLOS Digit HealthNeveditsin N, Lingras P, Mago V.
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An auditable and source-verified framework for clinical AI decision support: integrating retrieval-augmented generation with data provenance. [PDF]
Front Artif IntellAlu FF, Oluwadare S.
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Graph neural entity disambiguation
Knowledge-Based Systems, 2020Abstract Entity Disambiguation (ED) aims to automatically resolve mentions of entities in a document to corresponding entries in a given knowledge base. State-of-the-art ED methods typically utilize local contextual information for obtaining mention embeddings which will be compared to candidate entity embeddings and then apply Conditional Random ...
Linmei Hu +4 more
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Entity disambiguation with memory network
Neurocomputing, 2018Abstract We develop a computational approach based on memory network for entity disambiguation. The approach automatically finds important clues of a mention from surrounding contexts with attention mechanism, and leverages these clues to facilitate entity disambiguation.
Yaming Sun +4 more
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Location-Aware Named Entity Disambiguation
Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021Named 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.
Maithrreye Srinivasan, Davood Rafiei
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Mutual Disambiguation for Entity Linking
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2014The disambiguation algorithm presented in this paper is implemented in SemLinker, an entity linking system. First, named entities are linked to candidate Wikipedia pages by a generic annotation engine. Then, the algorithm re-ranks candidate links according to mutual relations between all the named entities found in the document. The evaluation is based
Eric Charton +3 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.
openaire +1 more source