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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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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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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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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Information (Switzerland)To address the limitations of existing methods of short-text entity disambiguation, specifically in terms of their insufficient feature extraction and reliance on massive training samples, we propose an entity disambiguation model called COLBERT, which ...
Qishun Mei
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Chinese Knowledge Based Question Answering Based on Multi-feature Entity Disambiguation [PDF]
Jisuanji gongcheng, 2022 The application of question answering system to the fields of artificial intelligence, natural language processing and information retrieval has got excellent results.Knowledge Based Question Answering(KBQA) is an important part of question answering ...
ZHANG Pengju, JIA Yonghui, CHEN Wenliang
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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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Entity Linking Method for Chinese Short Text Based on Siamese-Like Network
Information, 2022 Entity linking plays a fundamental role in knowledge engineering and data mining and is the basis of various downstream applications such as content analysis, relationship extraction, question and answer.
Yang Zhang, Jin Liu, Bo Huang, Bei Chen
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