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

Publikationen von Ananiadou, S. sortiert nach Titel
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Piao, S., Rea, B., McNaught, J. und Ananiadou, S., Improving Full Text Search With Text Mining Tools, in: Proceedings of the 14th International Conference on Applications of Natural Language to Information Systems, Seiten 301-302, 2009
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Brockmeier, A. J., Ju., M., Przybyɫa, P. und Ananiadou, S., Improving reference prioritisation with PICO recognition (2019), in: BMC Medical Informatics and Decision Making, 19(256)
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Ananiadou, S., Thompson, P. und Nawaz, R., Improving Search Through Event-based Biomedical Text Mining, in: Proceedings of the 1st Automated Motif Discovery in Cultural Heritage and Scientific Communication Texts (AMICUS) workshop, 2010
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Kano, Y., McCrochon, L., Ananiadou, S. und Tsujii, J., Integrated NLP Evaluation System for Pluggable Evaluation Metrics with Extensive Interoperable Toolkit, in: Proceedings of the NAACL HLT Workshop on Software Engineering, Testing, and Quality Assurance for Natural Language Processing, Seiten 22--30, 2009
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Piao, S., Ananiadou, S. und McNaught, J., Integrating Annotation Tools into UIMA for Interoperability, in: Proceedings of the UK e-Science AHM Conference 2007, Seiten 575--582, 2007
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Rak, R., Rowley, A., Carter, J., Batista-Navarro, R. und Ananiadou, S., Interoperability and Customisation of Annotation Schemata in Argo, in: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland, Seiten 3837-3842, European Language Resources Association (ELRA), 2014
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Ananiadou, S. und McNaught, J., Introduction to Text Mining in Biology, in: Text Mining for Biology and Biomedicine, Seiten 1--12, Artech House, Inc., 2006
Ananiadou, S., Friedman, C. und Tsujii, J., Introduction: named entity recognition in biomedicine (2004), in: Journal of Biomedical Informatics, 37:6(393--395)
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Vasquez-Rodriguez, L., Shardlow, M., Przybyɫa, P. und Ananiadou, S., Investigating Text Simplification Evaluation, in: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, Seiten 876-882, 2021
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Nobata, C., Cotter, P., Okazaki, N., Rea, B., Sasaki, Y., Tsuruoka, Y., Tsujii, J. und Ananiadou, S., Kleio: a knowledge-enriched information retrieval system for biology, in: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, Singapore, Singapore, Seiten 787--788, ACM, 2008
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Inan, E., Thompson, P., Christopoulou, F., Yates, T. und Ananiadou, S., Knowledge Graph Enrichment of a Semantic Search System for Construction Safety, in: Intelligent Systems and Applications. IntelliSys 2022., Seiten 33-52, Springer, Cham, 2022
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Spasić, I., Nenadić, G. und Ananiadou, S., Learning to Classify Biomedical Terms through Literature Mining and Genetic Algorithms, in: Intelligent Data Engineering and Automated Learning – IDEAL 2004, Seiten 345--351, Springer-Verlag, 2004
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Espinosa, K., Batista-Navarro, R. und Ananiadou, S., Learning to recognise named entities in Tweets by exploiting weakly labelled data, in: Proceedings of the 2nd Workshop on Noisy User-generated Text (W-NUT 2016), 2016
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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 |