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Blending Topic-based Embeddings and Cosine Similarity for Open Data Discovery.

, , , , and . ICEIS (1), page 163-170. SCITEPRESS, (2022)

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Blending Topic-based Embeddings and Cosine Similarity for Open Data Discovery., , , , and . ICEIS (1), page 163-170. SCITEPRESS, (2022)Time Expression Annotation for Multiple Clinical Specialties., , , and . AMIA, AMIA, (2019)Clinical Knowledge Graph Embedding Representation Bridging the Gap between Electronic Health Records and Prediction Models., , and . ICMLA, page 1448-1453. IEEE, (2019)Fast Phonetic Similarity Search over Large Repositories., , and . DEXA (2), volume 8645 of Lecture Notes in Computer Science, page 74-81. Springer, (2014)Annotating Temporal Information in Clinical Notes for Timeline Reconstruction: Towards the Definition of Calendar Expressions., , , and . BioNLP@ACL, page 201-210. Association for Computational Linguistics, (2019)Normalisation of imprecise temporal expressions extracted from text., , , and . Knowl. Inf. Syst., 61 (3): 1361-1394 (2019)Towards open data discovery: a comparative study., , , and . SAC, page 713-716. ACM, (2022)Evaluating the Effectiveness of Margin Parameter when Learning Knowledge Embedding Representation for Domain-specific Multi-relational Categorized Data., and . CoRR, (2019)ICD-10 Coding based on Semantic Distance: LSI_UNED at CLEF eHealth 2020 Task 1., , , , and . CLEF (Working Notes), volume 2696 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Integrating Approximate String Matching with Phonetic String Similarity., , and . ADBIS, volume 11019 of Lecture Notes in Computer Science, page 173-181. Springer, (2018)