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Text mining of cancer-related information: Review of current status and future directions.

, , , and . Int. J. Medical Informatics, 83 (9): 605-623 (2014)

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Semantics Altering Modifications for Evaluating Comprehension in Machine Reading., , and . CoRR, (2020)Exploring the Consistency, Quality and Challenges in Manual and Automated Coding of Free-text Diagnoses from Hospital Outpatient Letters., , , , , , , , , and . CoRR, (2023)Towards Principles of Ontology-Based Annotation of Clinical Narratives., , , , , and . ICBO, volume 3603 of CEUR Workshop Proceedings, page 36-47. CEUR-WS.org, (2023)Ontology Learning with Deep Learning: a Case Study on Patient Safety Using PubMed., , , , , , , , , and . SWAT4LS, volume 1795 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning., , , , and . ClinicalNLP@ACL, page 31-40. Association for Computational Linguistics, (2023)Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method., , and . ICHI, page 627-636. IEEE, (2023)Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning., , , , , and . Frontiers Digit. Health, (2024)Using SVMs with the Command Relation features to identify negated events in biomedical literature., and . NeSp-NLP@ACL, page 78-85. University of Antwerp, (2010)MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs., , , , and . EAMT (1), page 337-346. European Association for Machine Translation (EAMT), (2024)EDU-level Extractive Summarization with Varying Summary Lengths., , , , , and . CoRR, (2022)