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Publicações de Ananiadou, S. ordenado por recente
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| , , and , Cited text span identification for scientific summarisation using pre-trained encoders (2020), in: Scientometrics |
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| , and , Revisiting Unsupervised Relation Extraction, in: Proceedings of ACL 2020, páginas 7498–7505, 2020 |
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| , , and , Semantic Annotation for Improved Safety in Construction Work, in: Proceedings of LREC 2020, páginas 1983‑1992, 2020 |
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| , , , , , and , The pace of modern culture (2020), in: Nature Human Behaviour |
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| , , , , , and , On revolutions (2020), in: Palgrave Communications, 6(4) |
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| , , and , Improving reference prioritisation with PICO recognition (2019), in: BMC Medical Informatics and Decision Making, 19(256) |
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| , , , , and , Coreference Resolution in Full Text Articles with BERT and Syntax-based Mention Filtering, in: Proceedings of the 5th Workshop on BioNLP Open Shared Tasks, páginas 196-205, 2019 |
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| , , , , , and , Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries (2019), in: BMC Bioinformatics, 20(430) |
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| , and , A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection, in: Proceedings of EMNLP 2019, páginas 3670-3677, 2019 |
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| , and , Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs, in: Proceedings of EMNLP 2019, páginas 4927-4938, 2019 |
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| and , Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning, in: Proceedings of BioNLP, páginas 339-347, 2019 |
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| , , , and , 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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| , , and , 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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| , , and , Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network, in: Proceedings of ACL 2019, páginas 4309-4316, 2019 |
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| , , , , , and , Annotating and Detecting Phenotypic Information for Chronic Obstructive Pulmonary Disease (2019), in: JAMIA Open, 2:2(261-271) |
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| , , and , 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), páginas 2873-2883, 2019 |
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| , , , , , and , Point of View: Hypothesis, analysis and synthesis, it's all Greek to me (2019), in: eLife, 8(e43514) |
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| , , , , , and , 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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| , and , 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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| , and , 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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| , and , 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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| , , , , , and , A Text Mining Pipeline Using Active and Deep Learning for Curating Information in Computational Neuroscience (2018), in: Neuroinformatics |
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| , and , Thalia: Semantic search engine for biomedical abstracts (2018), in: Bioinformatics, 35:10(1799–1801) |
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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 , Annotation and Detection of Drug Effects in Text for Pharmacovigilance (2018), in: Journal of Cheminformatics, 10(37) |
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