Ananiadou, S. - NaCTeM Publications

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

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Alhuzali, H. and Ananiadou, S., SpanEmo: Casting Multi-label Emotion Classification as Span-prediction, in: Proceedings 16th conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), pages 1573–1584, 2021

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Alhuzali, H. and Ananiadou, S., Improving Textual Emotion Recognition Based on Intra- and Inter-Class Variation (2021), in: IEEE Transactions on Affective Computing

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Alhuzali, H. and Ananiadou, S., Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning, in: Proceedings of BioNLP, pages 339-347, 2019

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Alhuzali, H., Zhang, T. and Ananiadou, S., A comparative geolocation and text mining analysis of emotions and topics during the COVID-19 Pandemic in the UK (2022), in: Journal of Medical Internet Research

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Alhuzali, H., Zhang, T. and Ananiadou, S., Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis (2022), in: Journal of Medical Internet Research, 24:10(e40323)

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Alhuzali, H., Zhang, T. and Ananiadou, S., Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier., in: CLEF (Working Notes), 2021

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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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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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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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Alnazzawi, N., Thompson, P., Batista-Navarro, R. and Ananiadou, S., Using text mining techniques to extract phenotypic information from the PhenoCHF corpus (2015), in: BMC Medical Informatics and Decision Making, 15:Suppl. 2(S3)

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Ananiadou, S., The National Centre for Text Mining: a Vision for the Future (2007), in: Ariadne, 53

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Ananiadou, S., Chruszcz, J., Keane, J., McNaught, J. and Watry, P., The National Centre for Text Mining: Aims and Objectives (2005), in: Ariadne, 42

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Ananiadou, S., Cotter, P., Nobata, C., Okazaki, N., Rea, B., Sasaki, Y., Tsuruoka, Y. and Tsujii, J., SemText: a semantically enriched information retrieval system for biology, in: Proceedings of the 8th International Conference on Systems Biology (ICSB 2007), 2007

Second International Symposium on Semantic Mining in Biomedicine (SMBM), 2006

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EntitÃ©s NommÃ©es, ATALA, Traitement Automatique des Langues, volume 54, 2013

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Ananiadou, S., Friedman, C. and Tsujii, J., Introduction: named entity recognition in biomedicine (2004), in: Journal of Biomedical Informatics, 37:6(393--395)

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Ananiadou, S., Kell, D. B. and Tsujii, J., Text mining and its potential applications in systems biology (2006), in: Trends in Biotechnology, 24:12(571 - 579)

Text Mining for Biology And Biomedicine, Artech House, Inc., 2006

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Ananiadou, S. and McNaught, J., Introduction to Text Mining in Biology, in: Text Mining for Biology and Biomedicine, pages 1--12, Artech House, Inc., 2006

Ananiadou, S., McNaught, J., Thomas, J. and Oliver, S., Evaluating a text mining based educational search portal, in: Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010), pages 3344--3350, 2010

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Ananiadou, S., McNaught, J. and Thompson, P., The English Language in the Digital Age, in: White Paper Series, Springer, 2012

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Ananiadou, S. and NenadiÄ‡, G., Automatic Terminology Management in Biomedicine, in: Text Mining for Biology and Biomedicine, pages 67--98, Artech House, Inc., 2006

Ananiadou, S., Ohta, T. and Rutter, M., Text Mining supporting Search for Knowledge Discovery in Diabetes (2012), in: Current Cardiovascular Risk Reports

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Ananiadou, S., Okazaki, N., Procter, R., Rea, B. and Thomas, J., Supporting Systematic Reviews using Text Mining (2009), in: Social Science Computer Review, 27:4(509-523)

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Ananiadou, S., Text Mining for Biomedicine (2009), in: Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration(1--11)

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