Schlagworte:
Publikationen von Ananiadou, S.
| 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 |
2015
| und , Adapting ChER for the recognition of chemical mentions in patents, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, Seiten 149-153, 2015 |
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| und , 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, Seiten 311-316, 2015 |
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| , , , , , , und , Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary (2015), in: BMC Bioinformatics, 16(149) |
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| , , und , Boosting Drug Named Entity Recognition using an Aggregate Classifier (2015), in: Artificial Intelligence in Medicine (AIIM), Special issue of ICHI 2013 conference |
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| , und , Customised OCR Correction for Historical Medical Text, in: Proceedings of DigitalHeritage 2015, Seiten 35 - 42, 2015 |
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| , und , Development of bespoke machine learning and biocuration workflows in a BioC-supporting text mining workbench, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, Seiten 51-56, 2015 |
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| und , Event Extraction in pieces: Tackling the partial event identification problem on unseen corpora, in: Proceedings of the 2015 Workshop on Biomedical Natural Language Processing (BioNLP 2015), Seiten 31-41, 2015 |
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| , , , , , , und , Mining the biomedical literature, in: Healthcare Data Analytics, Seiten 251-308, CRC Press, 2015 |
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| , und , Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics (2015), in: Journal of Cheminformatics, 7:Suppl 1(S6) |
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| , , , , , , , , , , , und , OSSMETER: Automated Measurement and Analysis of Open Source Software, in: Proceedings of the Projects Showcase at the Software Technologies: Applications and Foundations 2015 (STAF 2015), 2015 |
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| , , , , , , , und , Overview of the Cancer Genetics and Pathway Curation tasks of BioNLP Shared Task 2013 (2015), in: BMC BioInformatics, 16(Suppl 10):Suppl 10(S2) |
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| , , und , Semantically Enhanced Search System for Historical Medical Archives, in: Proceedings of DigitalHeritage 2015, Seiten 387 - 390, 2015 |
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| , und , Semi-automatic curation of chronic obstructive pulmonary disease phenotypes using Argo, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, Seiten 403-408, 2015 |
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| , und , Supporting Systematic Reviews Using LDA-based Document Representations (2015), in: Systematic Reviews, 4(172) |
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| , , , und , Using text mining for study identification in systematic reviews: A systematic review of current approaches (2015), in: Systematic Reviews, 4:1 |
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| , , und , Using text mining techniques to extract phenotypic information from the PhenoCHF corpus (2015), in: BMC Medical Informatics and Decision Making, 15:Suppl. 2(S3) |
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2014
| , , , und , A hybrid approach to compiling bilingual dictionaries of medical terms from parallel corpora, in: Statistical Language and Speech Processing, Second International Conference, SLSP 2014, Seiten 57-69, Springer, 2014 |
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| und , Anatomical Entity Mention Recognition at Literature Scale (2014), in: Bioinformatics, 30:6(868-875) |
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| , , , , , , und , Anatomical entity recognition with a hierarchical framework augmented by external resources (2014), in: PLOS ONE, 9:10(e108396) |
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| , und , Building a semantically annotated corpus for congestive heart and renal failure from clinical records and the literature, in: Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi), Gothenburg, Sweden, Seiten 69-74, Association for Computational Linguistics, 2014 |
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| , , und , Combining String and Context Similarity for Bilingual Term Alignment from Comparable Corpora, in: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), Doha, Qatar, Seiten 1701-1712, Association for Computational Linguistics, 2014 |
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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 |
