Ananiadou, S. - NaCTeM Publications

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

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Bahor, Z., Liao, J., Macleod, M. R., Bannach-Brown, A., McCann, S. K., Wever, K. E., Thomas, J., Ottavi, T., Howells, D. W., Rice, A., Ananiadou, S. and Sena, E., Risk of bias reporting in the recent animal focal cerebral ischaemia literature (2017), in: Clinical Science, 131:20(2525--2532)

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Raitano, G., Benfenati, E., Ananiadou, S., Nguyen, N. T. H., Do, Q. T., Rat, P. and Sousselier, L., Role of in silico tools and text mining in the safety assessment of selected plant coumarins (2017), in: Toxicology Letters, 280:Supplement 1(S96)

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Venkatesan, A., Kim, J. -H., Talo, F., Ide-Smith, M., Gobeill, J., Carter, J., Batista-Navarro, R., Ananiadou, S., Ruch, P. and McEntyre, J. R., SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data [version 2; referees: 2 approved, 1 approved with reservations]. (2017), in: Wellcome Open Res, 1:25

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Ananiadou, S. and Thompson, P., Supporting Biological Pathway Curation Through Text Mining, in: Data Analytics and Management in Data Intensive Domains, pages 59-73, Springer, 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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Thompson, P., Ananiadou, S. and Tsujii, J., The GENIA Corpus: Annotation Levels and Applications, in: Handbook of Linguistic Annotation, pages 1395-1432, Springer, 2017

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Zerva, C., Batista-Navarro, R., Day, P. J. R. and Ananiadou, S., Using uncertainty to link and rank evidence from biomedical literature for model curation (2017), in: Bioinformatics

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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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Korkontzelos, I., Nikfarjam, A., Shardlow, M., Sarker, A., Ananiadou, S. and Gonzalez, G., Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts (2016), in: Journal of Biomedical Informatics, 62(148-158)

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Batista-Navarro, R., Carter, J. and Ananiadou, S., Argo: Enabling the development of bespoke workflows and services for disease annotation (2016), in: Database: The Journal of Biological Databases and Curation, 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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Mu, T., Goulermas, J. Y, Korkontzelos, I. and Ananiadou, S., Descriptive Clustering via Discriminant Learning in a Coembedded Space of Multi-level Similarities (2016), in: Journal of the Association for Information Science and Technology, 67:1(106-133)

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Thompson, P., Nawaz, R., McNaught, J. and Ananiadou, S., Enriching News Events with Meta-knowledge Information (2016), in: Language Resources and Evaluation, 51:2(409-438)

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Korkontzelos, I., Thomas, B., Miwa, M. and Ananiadou, S., Ensemble Classification of Grants using LDA-based features (2016), in: Proceedings of LREC 2016(1288-1294)

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Shardlow, M., Przybyɫa, P., Batista-Navarro, R., Carter, J., McNaught, J. and Ananiadou, S., Facilitating and promoting web annotation with Argo, in: Proceedings of I Annotate 2016, 2016

Korkontzelos, I., Thompson, P. and Ananiadou, S., Identifying content types of messages related to Open Source Software projects, in: Proceedings of LREC 2016, pages 1837-1844, 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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Alnazzawi, N., Thompson, P. and Ananiadou, S., Mapping Phenotypic Information in Heterogeneous Textual Sources to a Domain-Specific Terminological Resource (2016), in: PLOS ONE, 11:9(e0162287)

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Przybyɫa, P., Nguyen, N. T. H., Shardlow, M., Kontonatsios, G. and 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), pages 614-620, 2016

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

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Przybyɫa, P., Shardlow, M., Aubin, S., Bossy, R., {Eckart de Castilho}, R., Piperidis, S., McNaught, J. and 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. and 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. 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 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. and 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. and 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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