Trefwoorden:
Publicaties van Ananiadou, S. gesorteerd op titel
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| , en , FACTA: a text search engine for finding associated biomedical concepts (2008), in: Bioinformatics, 24:21(2259-60) |
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| , en , Fast Full Parsing by Linear-Chain Conditional Random Fields, in: Proceedings of the 12th Conference of European Chapter of the Association for Computational Linguistics (EACL-09), pagina's 790--798, 2009 |
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| , , , , , , , en , Filling the gaps between tools and users: a tool comparator, using protein-protein interaction as an example., in: Proceedings of the Pacific Symposium on Biocomputing 2008 (PSB 2008), pagina's 616--627, 2008 |
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| , , en , Gaussian Distributed Prototypical Network for Few-shot Genomic Variant Detection, in: Proceedings of BioNLP 2023, pagina's 26–36, 2023 |
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| , en , GenCompareSum: a hybrid unsupervised summarization method using salience, in: Proceedings of BioNLP 2022, pagina's 220–240, 2022 |
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| , , en , Generalising semantic category disambiguation with large lexical resources for fun and profit (2014), in: Journal of Biomedical Semantics, 5(26) |
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| , en , Generating Natural Language specifications from UML class diagrams (2008), in: Requirements Engineering, 13:1(1--18) |
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| en , GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction, in: Findings of EMNLP, pagina's 2119–2126, 2021 |
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| , , , en , Global information-aware argument mining based on a top-down multi-turn QA model (2023), in: Information Processing & Management, 60:5(103445) |
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| , , en , Graph Contrastive Topic Model, arXiv, 2023 |
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| , , en , GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization, in: Proceedings of COLING, pagina's 6259–6269, 2022 |
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| , , , , en , High-Precision Semantic Search by Generating and Testing Questions, in: Proceedings of the UK e-Science All Hands Meeting, 2010 |
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| , , en , Highly Scalable Text Mining Parallel Tagging Application, in: Proceedings of ICSSCW2009, Famgusta, Cyprus, 2009 |
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| en , How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning, arXiv, 2024 |
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| , , en , How to make the most of NE dictionaries in statistical NER (2008), in: BMC Bioinformatics, 9:Suppl 11(S5) |
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| , , en , How to Make the Most of NE Dictionaries in Statistical NER, in: Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP 2008), pagina's 63--70, Association for Computational Linguistics, 2008 |
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| , , en , HSEarch: semantic search system for workplace accident reports, in: Proceedings of the 43rd European Confererence on Information Retrieval (ECIR 2021), pagina's 514-519, 2021 |
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| en , HYPHEN: A flexible, hybrid method to map phenotype concept mentions to terminological resources (2018), in: Terminology, 24:1(91-121) |
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| , en , Identification of Manner in Bio-Events, in: Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC 2012), pagina's 3505-3510, 2012 |
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| , , , , en , Identification of Research Hypotheses and New Knowledge from Scientific Literature (2018), in: BMC Medical Informatics and Decision Making, 18(46) |
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| , en , Identifying content types of messages related to Open Source Software projects, in: Proceedings of LREC 2016, pagina's 1837-1844, 2016 |
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| , en , Identifying Personalised Treatments and Clinical Trials for Precision Medicine using Semantic Search with Thalia, in: Proceedings of the Twenty-Fifth Text REtrieval Conference (TREC 2017), National Insitute of Standards and Technology, 2017 |
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| , , en , Identifying Sections in Scientific Abstracts using Conditional Random Fields, in: Proceedings of the 3rd International Joint Conference on Natural Language Processing (IJCNLP 2008), pagina's 381-388, 2008 |
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| , , en , Imbalanced Classification Using Dictionary-based Prototypes and Hierarchical Decision Rules for Entity Sense Disambiguation, in: Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010), pagina's 851-859, 2010 |
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| , en , Improve Chinese Clinical Named Entity Recognition Performance by Using the Graphical and Phonetic Feature, in: Proceedings of the 2018 International Workshop on Biomedical and Health Informatics, 2018 |
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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 | 376-389 |