Alle Publikationen
| 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 | 426-450 | 451-475 | 476-500 | 501-525 | 526-550 | 551-569 |
2018
| , und , A Neural Layered Model for Nested Named Entity Recognition, in: Proceedings of NAACL 2018, Seiten 1446-1459, 2018 |
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| , , , , , , und , A New Corpus to Support Text Mining for the Curation of Metabolites in the ChEBI Database, in: Proceedings of LREC 2018, Seiten 280-285, 2018 |
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| , , , , , und , A Text Mining Pipeline Using Active and Deep Learning for Curating Information in Computational Neuroscience (2018), in: Neuroinformatics |
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| , und , A Walk-based Model on Entity Graphs for Relation Extraction, in: Proceedings of ACL, Seiten 81-88, 2018 |
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| , , , , und , Annotation and Detection of Drug Effects in Text for Pharmacovigilance (2018), in: Journal of Cheminformatics, 10(37) |
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| und , 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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| , , , , , , , , , und , Are all flavonoids safe for use in Cosmetics?, in: Proceedings of the 30th IFSCC Congress, Seiten Poster S2-296, 2018 |
| , , , , , , und , Biosimilar Versus Originator Insulins: Systematic review and meta-analysis (2018), in: Diabetes, Obesity and Metabolism |
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| , und , Corpus Analysis and Annotation for Helpful Sentences in Product Reviews (2018), in: Computer and Information Science, 11:2(76-87) |
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| und , HYPHEN: A flexible, hybrid method to map phenotype concept mentions to terminological resources (2018), in: Terminology, 24:1(91-121) |
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| , , , , und , Identification of Research Hypotheses and New Knowledge from Scientific Literature (2018), in: BMC Medical Informatics and Decision Making, 18(46) |
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| , und , 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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| , , und , Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts, in: Proceedings of the BioNLP 2018 workshop, Seiten 183-188, 2018 |
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| , , , , , und , On Revolutions (2018), in: V-Dem Working Paper(63) |
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| und , Paths for uncertainty: Exploring the intricacies of uncertainty identification for news, in: Proceedings of the NAACL Workshop on Computational Semantics Beyond Events and Roles (SemBEaR), Seiten 6-20, 2018 |
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| , , , , , , und , Prioritising references for systematic reviews with RobotAnalyst: a user study (2018), in: Research Synthesis Methods, 9:3(470-488) |
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| , , , , , , , , , , , , und , Role of in silico tools and text mining in the risk assessment of selected alkaloids (2018), in: Toxicology Letters, 295:Supplement 1(S159) |
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| , , und , Self-Tuned Descriptive Document Clustering using a Predictive Network (2018), in: Transactions on Knowledge and Data Engineering |
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| , und , Thalia: Semantic search engine for biomedical abstracts (2018), in: Bioinformatics, 35:10(1799–1801) |
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2017
| , , , , , und , A semi-supervised approach using label propagation to support citation screening (2017), in: Journal of Biomedical Informatics, 72(67-76) |
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| , , und , A Text Mining-Based Framework for Constructing an RDF-Compliant Biodiversity Knowledge Repository, Seiten 30-42, Springer, Communications in Computer and Information Science, Band 656, 2017 |
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| , , , , , , , , , , , , und , biochem4j: integrated and extensible biochemical knowledge through graph databases (2017), in: PLOS ONE, 12:7(e0179130) |
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| , , , und , Constructing a Biodiversity Terminological Inventory (2017), in: PLOS ONE, 12:4(e0175277) |
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| , und , Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods (2017), in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 99 |
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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 | 426-450 | 451-475 | 476-500 | 501-525 | 526-550 | 551-569 |
