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Learning Contextualized Document Representations for Healthcare Answer Retrieval

, , , , and . Proceedings of The Web Conference 2020, page 1332-1343. ACM, (April 2020)
DOI: 10.1145/3366423.3380208

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Deep Learning : Maschinen, die wie Menschen lernen, and . Golem, (2015)Große Sprachmodelle. Grundlagen, Potenziale und Herausforderungen für die Forschung, , , , , and . Whitepaper aus der Plattform Lernende Systeme, (Mai 2023)MedAlpaca - An Open-Source Collection of Medical Conversational AI Models and Training Data., , , , , , , and . CoRR, (2023)Self-supervised Answer Retrieval on Clinical Notes., , and . CoRR, (2021)Cross-Lingual Knowledge Transfer for Clinical Phenotyping., , , , , , , and . LREC, page 900-909. European Language Resources Association, (2022)How to model Semantic Peer-to-Peer Overlays?, and . GI Jahrestagung (1), volume P-93 of LNI, page 12-19. GI, (2006)Learning Contextualized Document Representations for Healthcare Answer Retrieval., , , , and . WWW, page 1332-1343. ACM / IW3C2, (2020)Aspect-Based Passage Retrieval with Contextualized Discourse Vectors., , , , , and . ECIR (2), volume 12657 of Lecture Notes in Computer Science, page 537-542. Springer, (2021)RelVis: Benchmarking OpenIE Systems., , , , and . ISWC (Posters, Demos & Industry Tracks), volume 1963 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text., , , , , , and . AACL/IJCNLP (1), page 172-184. Association for Computational Linguistics, (2022)