Ananiadou, S. - NaCTeM Publications

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Vorname(n):	S.
Nachname(n):	Ananiadou

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Przybyɫa, P., Nguyen, N. T. H., Shardlow, M., Kontonatsios, G. und Ananiadou, S., NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features, in: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), Seiten 614-620, 2016

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Black, W.J., Rowley, A., Miwa, M., McNaught, J. und Ananiadou, S., Text Mining for Semantic Search in Europe PubMed Central Labs, in: Working with Text: Tools, Techniques and Approaches for Text Mining, Seiten 111-132, Elsevier, 2016

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Przybyɫa, P., Shardlow, M., Aubin, S., Bossy, R., {Eckart de Castilho}, R., Piperidis, S., McNaught, J. und Ananiadou, S., Text Mining Resources for the Life Sciences (2016), in: Database: The Journal of Biological Databases and Curation(baw145)

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Thompson, P., Batista-Navarro, R., Kontonatsios, G., Carter, J., Toon, E., McNaught, J., Timmermann, C., Worboys, M. und Ananiadou, S., Text Mining the History of Medicine (2016), in: PLOS One, 11:1(e0144717)

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Batista-Navarro, R., Soto, A., Ulate, W. und Ananiadou, S., Text Mining Workflows for Indexing Archives with Automatically Extracted Semantic Metadata, in: Proceedings of the 20th International Conference on Theory and Practice of Digital Libraries (TPDL 2016), Seiten 471â€“473, Springer, 2016

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Rehm, G., Uszkoreit, H., Ananiadou, S., Bel, N., Bieleviciene, A., Borin, L., Branco, A., Budin, G., Calzolari, N., Daelemans, W., Garabik, R., Grobelnik, M., Garcia-Mateo, C., Van Genabith, J., Hajic, J., Hernaez, I., Judge, J., Koeva, S., Krek, S., Krstev, C., Linden, K., Magnini, B., Mariani, J., McNaught, J., Melero, M., Monachini, M., Moreno, A., Odijk, J., Ogrodniczuk, M., Pezik, P., Piperidis, S., Przepiorkowski, A., Rognvaldsson, E., Rosner, M., Pedersen, B., Skadina, I., De Smedt, K., Tadic, M., Thompson, P., Tufis, D., Varadi, T., Vasiljevs, A., Vider, K. und Zabarskaite, J., The strategic impact of META-NET on the regional, national and international level (2016), in: Language Resources and Evaluation, 50:2(351-374)

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Hashimoto, K., Kontonatsios, G., Miwa, M. und Ananiadou, S., Topic Detection Using Paragraph Vectors to Support Active Learning in Systematic Reviews (2016), in: Journal of Biomedical Informatics, 62(59â€“65)

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Haynes, C., Kay, N., Harrison, K., McLeod, C., Shaw, B., Leng, G., Kontonatsios, G. und Ananiadou, S., Using text mining to facilitate study identification in public health systematic reviews (2016), in: Guidelines International Network (G-I-N) conference

Bollegala, D., Kontonatsios, G. und Ananiadou, S., A Cross-lingual Similarity Measure for Detecting Biomedical Term Translations (2015), in: PLOS ONE, 10:6(e0126196)

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Miwa, M. und Ananiadou, S., Adaptable, high recall, event extraction system with minimal configuration (2015), in: BMC Bioinformatics, 16:Suppl 10.(S7)

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Batista-Navarro, R. und Ananiadou, S., 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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Batista-Navarro, R. und Ananiadou, S., 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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Xu, Y., Chen, L., Wei, J., Ananiadou, S., Fan, Y., Qian, Y., Chang, E. I-C. und Tsujii, J., Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary (2015), in: BMC Bioinformatics, 16(149)

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Korkontzelos, I., Piliouras, D., Dowsey, A. und Ananiadou, S., 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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Thompson, P., McNaught, J. und Ananiadou, S., Customised OCR Correction for Historical Medical Text, in: Proceedings of DigitalHeritage 2015, Seiten 35 - 42, 2015

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Batista-Navarro, R., Carter, J. und Ananiadou, S., 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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Zerva, C. und Ananiadou, S., 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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MihÄƒilÄƒ, C., Batista-Navarro, R., Alnazzawi, N., Kontonatsios, G., Korkontzelos, I., Rak, R., Thompson, P. und Ananiadou, S., Mining the biomedical literature, in: Healthcare Data Analytics, Seiten 251-308, CRC Press, 2015

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Batista-Navarro, R., Rak, R. und Ananiadou, S., 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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Almeida, B., Ananiadou, S., Bagnato, A., Barbero, A. B., Di Rocco, J., Di Ruscio, D., Kolovos, D. S., Korkontzelos, I., Hansen, S., Malo, P., Matragkas, N., Paige, R. F. und Vinju, J., 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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Pyysalo, S., Ohta, T., Rak, R., Rowley, A., Chun, H.-W., Jung, S. -J., Choi, S. -P., Tsujii, J. und Ananiadou, S., 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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Thompson, P., Carter, J., McNaught, J. und Ananiadou, S., Semantically Enhanced Search System for Historical Medical Archives, in: Proceedings of DigitalHeritage 2015, Seiten 387 - 390, 2015

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Batista-Navarro, R., Carter, J. und Ananiadou, S., 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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Mo, Y., Kontonatsios, G. und Ananiadou, S., Supporting Systematic Reviews Using LDA-based Document Representations (2015), in: Systematic Reviews, 4(172)

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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 |

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