Trefwoorden:
Publicaties van Ananiadou, S. gesorteerd op nieuwheid
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| , , , , , en , The pace of modern culture (2020), in: Nature Human Behaviour |
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| , , , , , en , On revolutions (2020), in: Palgrave Communications, 6(4) |
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| , , en , Improving reference prioritisation with PICO recognition (2019), in: BMC Medical Informatics and Decision Making, 19(256) |
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| , , , , en , Coreference Resolution in Full Text Articles with BERT and Syntax-based Mention Filtering, in: Proceedings of the 5th Workshop on BioNLP Open Shared Tasks, pagina's 196-205, 2019 |
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| , , , , , en , Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries (2019), in: BMC Bioinformatics, 20(430) |
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| , en , A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection, in: Proceedings of EMNLP 2019, pagina's 3670-3677, 2019 |
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| , en , Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs, in: Proceedings of EMNLP 2019, pagina's 4927-4938, 2019 |
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| en , Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning, in: Proceedings of BioNLP, pagina's 339-347, 2019 |
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| , , , en , Adverse Drug Events and Medication Relation Extraction in EHRs with Ensemble Deep Learning Methods (2019), in: Journal of the American Medical Informatics Association(ocz101) |
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| , , en , An Ensemble of Neural Models for Nested Adverse Drug Events and Medication Extraction with Subwords (2019), in: Journal of the American Medical Informatics Association, 27:1(22-30) |
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| , , en , Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network, in: Proceedings of ACL 2019, pagina's 4309-4316, 2019 |
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| , , , , , en , Annotating and Detecting Phenotypic Information for Chronic Obstructive Pulmonary Disease (2019), in: JAMIA Open, 2:2(261-271) |
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| , , en , Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks, in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pagina's 2873-2883, 2019 |
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| , , , , , en , Point of View: Hypothesis, analysis and synthesis, it's all Greek to me (2019), in: eLife, 8(e43514) |
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| , , , , , en , Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error (2019), in: Systematic Reviews, 8(23) |
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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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| , en , COPIOUS: A gold standard corpus of named entities towards extracting species occurrence from biodiversity literature (2019), in: Biodiversity Data Journal, 7(e29626) |
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| , en , Quantifying Risk Factors in Medical Reports with a Context-Aware Linear Model (2019), in: Journal of the American Medical Informatics Association, 26:6(537–546) |
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| , , , , , en , A Text Mining Pipeline Using Active and Deep Learning for Curating Information in Computational Neuroscience (2018), in: Neuroinformatics |
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| , en , Thalia: Semantic search engine for biomedical abstracts (2018), in: Bioinformatics, 35:10(1799–1801) |
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| en , 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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| , , , , en , Annotation and Detection of Drug Effects in Text for Pharmacovigilance (2018), in: Journal of Cheminformatics, 10(37) |
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| , , , , , , en , Prioritising references for systematic reviews with RobotAnalyst: a user study (2018), in: Research Synthesis Methods, 9:3(470-488) |
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| , , en , Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts, in: Proceedings of the BioNLP 2018 workshop, pagina's 183-188, 2018 |
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| , , , , , en , Role of in silico tools and text mining in the safety assessment of selected plant coumarins (2017), in: Toxicology Letters, 280:Supplement 1(S96) |
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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 | 401-425 | 426-429 |