Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

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Primeiro nome(s):	S.
Sobrenome(s):	Ananiadou

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

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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. and Breitling, R., biochem4j: integrated and extensible biochemical knowledge through graph databases (2017), in: PLOS ONE, 12:7(e0179130)

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

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

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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, páginas 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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Soto, A., Zerva, C., Batista-Navarro, R. and 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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Li, M., Nguyen, N. T. H. and Ananiadou, S., Proactive Learning for Named Entity Recognition, in: Proceedings of BioNLP 2017, páginas 117--125, Association for Computational Linguistics, 2017

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

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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, páginas 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, páginas 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), páginas 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), páginas 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

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