Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

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

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Christopoulou, F., Miwa, M. und Ananiadou, S., A Walk-based Model on Entity Graphs for Relation Extraction, in: Proceedings of ACL, Seiten 81-88, 2018

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Zerva, C. und Ananiadou, S., Paths for uncertainty: Exploring the intricacies of uncertainty identification for news, in: Proceedings of the NAACL Workshop on Computational Semantics Beyond Events and Roles (SemBEaR), Seiten 6-20, 2018

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Leroi, A. M., Lambert, B. C., Mauch, M., Papadopoulou, M., Ananiadou, S., Lindberg, S. I. I. und Lindenfors, P., On Revolutions (2018), in: V-Dem Working Paper(63)

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Yamada, T., Kamata, R., Ishinohachi, K., Shojima, N., Ananiadou, S., Noma, H., Yamauchi, T. und Kadowaki, T., Biosimilar Versus Originator Insulins: Systematic review and meta-analysis (2018), in: Diabetes, Obesity and Metabolism

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Przybyɫa, P., Soto, A. und 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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Shardlow, M., Nguyen, N. T. H., Owen, G., Turner, S., O'Donovan, C., Leach, A., McNaught, J. und Ananiadou, S., A New Corpus to Support Text Mining for the Curation of Metabolites in the ChEBI Database, in: Proceedings of LREC 2018, Seiten 280-285, 2018

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Thompson, P. und Ananiadou, S., HYPHEN: A flexible, hybrid method to map phenotype concept mentions to terminological resources (2018), in: Terminology, 24:1(91-121)

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Ju., M., Miwa, M. und Ananiadou, S., A Neural Layered Model for Nested Named Entity Recognition, in: Proceedings of NAACL 2018, Seiten 1446-1459, 2018

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Brockmeier, A. J., Mu, T., Ananiadou, S. und Goulermas, J. Y, Self-Tuned Descriptive Document Clustering using a Predictive Network (2018), in: Transactions on Knowledge and Data Engineering

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Soto, A., Zerva, C., Batista-Navarro, R. und Ananiadou, S., LitPathExplorer: A Confidence-based Visual Text Analytics Tool for Exploring Literature-Enriched Pathway Models (2017), in: Bioinformatics, 34:8(1389-1397)

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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. und 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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Li, M., Nguyen, N. T. H. und Ananiadou, S., Proactive Learning for Named Entity Recognition, in: Proceedings of BioNLP 2017, Seiten 117--125, Association for Computational Linguistics, 2017

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Batista-Navarro, R., Zerva, C., Nguyen, N. T. H. und Ananiadou, S., A Text Mining-Based Framework for Constructing an RDF-Compliant Biodiversity Knowledge Repository, Seiten 30-42, Springer, Communications in Computer and Information Science, Band 656, 2017

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Brockmeier, A. J., Mu, T., Ananiadou, S. und Goulermas, J. Y, Quantifying the Informativeness of Similarity Measurements (2017), in: Journal of Machine Learning Research, 18(1-61)

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

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Swainston, N., Batista-Navarro, R., Carbonel, P., Dobson, P., Dunstan, M., Jervis, A., Vinaixa, M., Williams, A., Ananiadou, S., Faulon, J. L., Mendes, P., Kell, D. B., Scrutton, N. und Breitling, R., biochem4j: integrated and extensible biochemical knowledge through graph databases (2017), in: PLOS ONE, 12:7(e0179130)

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Kontonatsios, G., Brockmeier, A. J., Przybyɫa, P., McNaught, J., Mu, T., Goulermas, J. Y und Ananiadou, S., A semi-supervised approach using label propagation to support citation screening (2017), in: Journal of Biomedical Informatics, 72(67-76)

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Mu, T., Goulermas, J. Y und Ananiadou, S., Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods (2017), in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 99

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Thompson, P. und Ananiadou, S., Extracting Gene-Disease Relations from Text to Support Biomarker Discovery, in: Proceedings of the 7th International conference on Digital Health, Seiten 180-189, 2017

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Ananiadou, S. und Thompson, P., Supporting Biological Pathway Curation Through Text Mining, in: Data Analytics and Management in Data Intensive Domains, Seiten 59-73, Springer, 2017

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Nguyen, N. T. H., Soto, A., Kontonatsios, G., Batista-Navarro, R. und Ananiadou, S., Constructing a Biodiversity Terminological Inventory (2017), in: PLOS ONE, 12:4(e0175277)

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Thompson, P., Boylan, K., Freemont, A. und Ananiadou, S., Supporting biomarker discovery using text mining, in: Proceedings of Informatics for Health 2017, 2017

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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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Sato, M., Brockmeier, A. J., Kontonatsios, G., Mu, T., Goulermas, J. Y, Tsujii, J. und Ananiadou, S., Distributed Document and Phrase Co-embeddings for Descriptive Clustering, in: Proceedings of EACL, Seiten 991-1001, 2017

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