Entity Disambiguation Leveraging Multi-Perspective Attention [PDF]
IEEE Access, 2019 Entity disambiguation aims to map mentions in text to the corresponding entities in a knowledge base, which is a basic task in natural language processing (NLP).
Chengzhi Wang +3 more
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B-LBConA: a medical entity disambiguation model based on Bio-LinkBERT and context-aware mechanism [PDF]
BMC Bioinformatics, 2023 Background The main task of medical entity disambiguation is to link mentions, such as diseases, drugs, or complications, to standard entities in the target knowledge base.
Siyu Yang +3 more
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Entity Disambiguation with Web Links [PDF]
Transactions of the Association for Computational Linguistics, 2021 Entity disambiguation with Wikipedia relies on structured information from redirect pages, article text, inter-article links, and categories. We explore whether web links can replace a curated encyclopaedia, obtaining entity prior, name, context, and coherence models from a corpus of web pages with links to Wikipedia.
Andrew Chisholm, Ben Hachey
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A short text entity disambiguation method based on BERT model and shortest path algorithm [PDF]
Scientific ReportsEntity disambiguation is an important task in natural language processing that addresses situations where entity names mentioned in text may correspond to multiple real-world entities, with the goal of disambiguation by mapping entity names mentioned in ...
Xiaodong Liu +8 more
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Leveraging Concepts in Open Access Publications [PDF]
Journal of Data Mining and Digital Humanities, 2020 This paper addresses the integration of a Named Entity Recognition and Disambiguation (NERD) service within a group of open access (OA) publishing digital platforms and considers its potential impact on both research and scholarly publishing.
Andrea Bertino +3 more
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End-to-end pipeline for automated heart failure diagnosis with clinical notes using SNOMED-CT [PDF]
Scientific ReportsDiagnosis of heart failure is complex but crucial for patient outcomes and often hindered by the untapped potential of unstructured clinical notes. We introduce a novel end-to-end pipeline for heart failure diagnosis, leveraging electronic health records
Fu-Sung Kim-Benjamin Tang +9 more
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Word Sense Disambiguation with Wikipedia Entities: A Survey of Entity Linking Approaches [PDF]
EntropyThe inference of unstructured text semantics is a crucial preprocessing task for NLP and AI applications. Word sense disambiguation and entity linking tasks resolve ambiguous terms within unstructured text corpora to senses from a predefined knowledge ...
Michael Angelos Simos, Christos Makris
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PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science [PDF]
Scientific DataPapers, patents, and clinical trials are essential scientific resources in biomedicine, crucial for knowledge sharing and dissemination. However, these documents are often stored in disparate databases with varying management standards and data formats ...
Jian Xu +8 more
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NAMED ENTITY DISAMBIGUATION: A HYBRID APPROACH [PDF]
International Journal of Computational Intelligence Systems, 2012 Semantic annotation of named entities for enriching unstructured content is a critical step in development of Semantic Web and many Natural Language Processing applications.
HienT. Nguyen, TruH. Cao
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Chemical entity normalization for successful translational development of Alzheimer’s disease and dementia therapeutics [PDF]
Journal of Biomedical SemanticsBackground Identifying chemical mentions within the Alzheimer’s and dementia literature can provide a powerful tool to further therapeutic research. Leveraging the Chemical Entities of Biological Interest (ChEBI) ontology, which is rich in hierarchical ...
Sarah Mullin +5 more
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