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Ananiadou, S.
First name(s): S.
Last name(s): Ananiadou

Publications of Ananiadou, S. sorted by journal and type
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Publications of type Inproceedings


2017

Thompson, P. and Ananiadou, S., Extracting Gene-Disease Relations from Text to Support Biomarker Discovery, in: Proceedings of the 7th International conference on Digital Health, pages 180-189, 2017
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Przybyɫa, P., Soto, A. and Ananiadou, S., Identifying Personalised Treatments and Clinical Trials for Precision Medicine using Semantic Search with Thalia, in: Proceedings of the Twenty-Fifth Text REtrieval Conference (TREC 2017), National Insitute of Standards and Technology, 2017
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Li, M., Nguyen, N. T. H. and Ananiadou, S., Proactive Learning for Named Entity Recognition, in: Proceedings of BioNLP 2017, pages 117--125, Association for Computational Linguistics, 2017
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Thompson, P., Boylan, K., Freemont, A. and Ananiadou, S., Supporting biomarker discovery using text mining, in: Proceedings of Informatics for Health 2017, 2017
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2016

Batista-Navarro, R., Hammock, J., Ulate, W. and Ananiadou, S., A Text Mining Framework for Accelerating the Semantic Curation of Literature, in: Proceedings of the 20th International Conference on Theory and Practice of Digital Libraries (TPDL 2016), pages 459-462, Springer, 2016
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Batista-Navarro, R., Zerva, C. and Ananiadou, S., Construction of a biodiversity knowledge repository using a text mining-based framework, in: Proceedings of the 3rd Annual International Symposium on Information Management and Big Data (SIMBig 2016), pages 22-25, 2016
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Espinosa, K., Batista-Navarro, R. and 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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Batista-Navarro, R., Soto, A., Ulate, W. and 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), pages 471–473, Springer, 2016
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2015

Batista-Navarro, R. and Ananiadou, S., Adapting ChER for the recognition of chemical mentions in patents, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, pages 149-153, 2015
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Batista-Navarro, R. and 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, pages 311-316, 2015
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Thompson, P., McNaught, J. and Ananiadou, S., Customised OCR Correction for Historical Medical Text, in: Proceedings of DigitalHeritage 2015, pages 35 - 42, 2015
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Batista-Navarro, R., Carter, J. and 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, pages 51-56, 2015
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Zerva, C. and 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), pages 31-41, 2015
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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. and 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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Thompson, P., Carter, J., McNaught, J. and Ananiadou, S., Semantically Enhanced Search System for Historical Medical Archives, in: Proceedings of DigitalHeritage 2015, pages 387 - 390, 2015
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Batista-Navarro, R., Carter, J. and Ananiadou, S., Semi-automatic curation of chronic obstructive pulmonary disease phenotypes using Argo, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, pages 403-408, 2015
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2014

Alnazzawi, N., Thompson, P. and Ananiadou, S., 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, pages 69-74, 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 | 401-407 |