Ananiadou, S. - NaCTeM Publications

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

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Sasaki, Y., Thompson, P., McNaught, J. und Ananiadou, S., Three BioNLP Tools Powered by the BioLexicon, in: Proceeedings of EACL 2009 Demonstration Session, Seiten 61--64, 2009

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Sasaki, Y., Thompson, P., McNaught, J. und Ananiadou, S., Biological Event Recognition with Textual Induction, in: Proceedings of 3rd International Symposium on Languages in Biology and Medicine (LBM-2009), Seiten 91--96, 2009

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Sasaki, Y., Tsuruoka, Y., McNaught, J. und Ananiadou, S., How to make the most of NE dictionaries in statistical NER (2008), in: BMC Bioinformatics, 9:Suppl 11(S5)

Sasaki, Y., Tsuruoka, Y., McNaught, J. und Ananiadou, S., How to Make the Most of NE Dictionaries in Statistical NER, in: Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP 2008), Seiten 63--70, Association for Computational Linguistics, 2008

Sasaki, Y., Wang, X. und Ananiadou, S., Extracting Secondary Bio-Event Arguments with Extraction Constraints (2011), in: Computational Intelligence, 27:4(702-721)

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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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SÃ¦tre, R., Kemper, B., Oda, K., Okazaki, N., Matsuoka, Y., Kikuchi, N., Kitano, H., Tsuruoka, Y., Ananiadou, S. und Tsujii, J., Connecting Text Mining and Pathways using the PathText Resource, in: Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC 2008), Seiten 1736-1740, European Language Resources Association (ELRA), 2008

SÃ¦tre, R., Kemper, B., Oda, K., Okazaki, N., Matsuoka, Y., Kikuchi, N., Kitano, H., Tsuruoka, Y., Ananiadou, S. und Tsujii, J., PathText: Text Mining Tools Integrated with Biological Pathway, in: Genomes to Systems Conference 2008 Handbook, Seiten 65, The Consortium for Post-Genome Science, 2008

Schoene, A und Ananiadou, S., RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification, in: Proceedings of LREC 2022, Seiten 6317-6327, 2022

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Schoene, A, Basinas, I., van Tongeren, M. und Ananiadou, S., A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome (2022), in: Int. J. Environ. Res. Public Health, 19:14(8544)

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Schoene, A, Bojanic, L., Nghiem, M-. Q., Hunt, I. M. und Ananiadou, S., Classifying suicide-related content and emotions on Twitter using Graph Convolutional Neural Networks (2022), in: IEEE Transactions on Affective Computing(1-12)

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Shardlow, M., Batista-Navarro, R., Thompson, P., Nawaz, R., McNaught, J. und Ananiadou, S., Identification of Research Hypotheses and New Knowledge from Scientific Literature (2018), in: BMC Medical Informatics and Decision Making, 18(46)

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Shardlow, M., Ju., M., Li, M., O'Reilly, C., Iavarone, E., McNaught, J. und Ananiadou, S., A Text Mining Pipeline Using Active and Deep Learning for Curating Information in Computational Neuroscience (2018), in: Neuroinformatics

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

Soldatova, L. N., Kolluru, B., King, R. D., Qi, D. und Ananiadou, S., An ontology-based disambiguation of terms, in: Proceedings of the Workshop on Mining the Pharmacogenomics Literature, Pacific Symopsium on Biocomputing, 2011

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Soto, A., Przybyɫa, P. und Ananiadou, S., Thalia: Semantic search engine for biomedical abstracts (2018), in: Bioinformatics, 35:10(1799â€“1801)

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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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Sousselier, L., Roncaglioni, A., Raitano, G., Petoumenou, M., Benfenati, E., Ananiadou, S., Nguyen, N. T. H., Do, Q. T., Olivier, E., Wakx, A. und Rat, P., Are all flavonoids safe for use in Cosmetics?, in: Proceedings of the 30th IFSCC Congress, Seiten Poster S2-296, 2018

Sousselier, L., Roncaglioni, A., Raitano, G., Petoumenou, M., Benfenati, E., Ananiadou, S., Nguyen, N. T. H., Do, Q. T., Paya, E., Olivier, E., Wakx, A., Michel, S., Dufat, H. und Rat, P., Role of in silico tools and text mining in the risk assessment of selected alkaloids (2018), in: Toxicology Letters, 295:Supplement 1(S159)

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SpasiÄ‡, I. und Ananiadou, S., A flexible measure of contextual similarity for biomedical terms., in: Proceedings of the Pacific Symposium on Biocomputing 10, Seiten 197--208, 2005

SpasiÄ‡, I. und Ananiadou, S., Using automatically learnt verb selectional preferences for classification of biomedical terms (2004), in: Journal of Biomedical Informatics, 37:6(483--497)

SpasiÄ‡, I., Ananiadou, S., McNaught, J. und Kumar, A., Text mining and ontologies in biomedicine: making sense of raw text. (2005), in: Briefings in Bioinformatics, 6:3(239--251)

SpasiÄ‡, I., Ananiadou, S. und Tsujii, J., MaSTerClass: a case-based reasoning system for the classification of biomedical terms (2005), in: Bioinformatics, 21:11(2748--2758)

SpasiÄ‡, I., NenadiÄ‡, G. und Ananiadou, S., Learning to Classify Biomedical Terms through Literature Mining and Genetic Algorithms, in: Intelligent Data Engineering and Automated Learning â€“ IDEAL 2004, Seiten 345--351, Springer-Verlag, 2004

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