Keywords:
Publications of Ananiadou, S. sorted by title
| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-407 |
A
| , , , , , and , Annotating and Detecting Phenotypic Information for Chronic Obstructive Pulmonary Disease (2019), in: JAMIA Open, 2:2(261-271) |
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| , , , , and , Annotation and Detection of Drug Effects in Text for Pharmacovigilance (2018), in: Journal of Cheminformatics, 10(37) |
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| and , APLenty: annotation tool for creating high-quality datasets using active and proactive learning, in: Proceedings of Empirical Methods in Natural Language Processing (System Demonstrations), 2018 |
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| , and , Applications of text mining within systematic reviews (2011), in: Research Synthesis Methods, 2:1(1-14) |
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| , , , , , , , , , and , Are all flavonoids safe for use in Cosmetics?, in: Proceedings of the 30th IFSCC Congress, pages Poster S2-296, 2018 |
| , , and , Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams, arXiv, 2024 |
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| , , and , Argo: an integrative, interactive, text mining-based workbench supporting curation (2012), in: Database: The Journal of Biological Databases and Curation, 2012 |
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| , and , Argo: Enabling the development of bespoke workflows and services for disease annotation (2016), in: Database: The Journal of Biological Databases and Curation, 2016 |
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| , , and , Argument mining as a multi-hop generative machine reading comprehension task, in: Findings of the Association for Computational Linguistics: EMNLP 2023, pages 10846–10858, 2023 |
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| , , , , , , , and , Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop (2024), in: International Journal of Information Management(102725) |
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| , and , ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials (2012), in: BMC Medical Informatics and Decision Making, 12:Suppl 1(S3) |
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| and , Augmenting the Medical Subject Headings vocabulary with semantically rich variants to improve disease mention normalisation, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, pages 311-316, 2015 |
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| , and , Automatic Discovery of Term Similarities Using Pattern Mining (2004), in: International Journal of Terminology, 10:1(55-80) |
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| , , , , , and , Automatic Extraction of Angiogenesis Bio-Process from Text (2011), in: Bioinformatics, 27:19(2730-2737) |
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| , , , and , Automatic extraction of microorganisms and their habitats from free text using text mining workflows (2011), in: Journal of Integrative Bioinformatics, 8:2(184) |
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| , , , , and , Automatic extraction of microorganisms and their habitats from free text using text-mining workflows, in: Proceedings of the International Symposium on Integrative Bioinformatics, 2011, 2011 |
| , and , Automatic identification of suicide notes with a transformer-based deep learning model (2021), in: Internet Interventions(100422) |
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| and , Automatic Terminology Management in Biomedicine, in: Text Mining for Biology and Biomedicine, pages 67--98, Artech House, Inc., 2006 |
B
| , , and , Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models, in: Proceedings of the ACM on Web Conference 2024 (WWW '24), pages 1963 - 1974, 2024 |
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| , , , , , , and , Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary (2015), in: BMC Bioinformatics, 16(149) |
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| , , and , BioCause: Annotating and Analysing Causality in the Biomedical Domain (2013), in: BMC Bioinformatics, 14:1(2) |
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B
| , , , , , , , , , , , , and , biochem4j: integrated and extensible biochemical knowledge through graph databases (2017), in: PLOS ONE, 12:7(e0179130) |
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B
| , , , , , and , BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles, in: Proceedings of BioNLP 2023, pages 468–477, 2023 |
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| , , , , and , BioLexicon: A Lexical Resource for the Biology Domain, in: Proceedings of the Third International Symposium on Semantic Mining in Biomedicine (SMBM 2008), Turku, Finland, pages 109--116, Turku Centre for Computer Science (TUCS), 2008 |
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| , , , , , , , , , and , BioLexicon: Towards a Reference Terminological Resource in the Biomedical Domain, in: Proceedings of the of the 16th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB-2008), 2008 |
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| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-407 |