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| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-525 | 526-528 |

Van Landeghem, S., BjÃ¶rne, J., Wei, C-. H, Hakala, K., Pyysalo, S., Ananiadou, S., Kao, H. -Y., Lu, Z., Salakoski, T., Van de Peer, Y. and Ginter, F., Large-scale event extraction from literature with multi-level gene normalization (2013), in: PLOS ONE, 8:4(e55814)

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Ananiadou, S., Sullivan, D., Black, W.J., Levow, G., Gillespie, J., Mao, C., Pyysalo, S., Kolluru, B., Tsujii, J. and Sobral, B., Named Entity Recognition for Bacterial Type IV Secretion Systems (2011), in: PLoS ONE, 6:3(e14780)

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Kolluru, B., Hawizy, L., Murray-Rust, P., Tsujii, J. and Ananiadou, S., Using Workflows to Explore and Optimise Named Entity Recognition for Chemistry (2011), in: PLoS ONE, 6:5(e20181)

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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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Stenetorp, P., Pyysalo, S., Ananiadou, S. and Tsujii, J., Almost Total Recall: Semantic Category Disambiguation Using Large Lexical Resources and Approximate String Matching (2011), in: Proceedings of the Fourth International Symposium on Languages in Biology and Medicine (LBM 2011)

Meziane, F., Athanasakis, N. and Ananiadou, S., Generating Natural Language specifications from UML class diagrams (2008), in: Requirements Engineering, 13:1(1--18)

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Przybyɫa, P., Brockmeier, A. J., Kontonatsios, G., Le Pogam, M. -A., McNaught, J., von Elm, E., Nolan, K. and Ananiadou, S., Prioritising references for systematic reviews with RobotAnalyst: a user study (2018), in: Research Synthesis Methods, 9:3(470-488)

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Thomas, J., McNaught, J. and Ananiadou, S., Applications of text mining within systematic reviews (2011), in: Research Synthesis Methods, 2:1(1-14)

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Zerva, C., Nghiem, M-. Q., Nguyen, N. T. H. and Ananiadou, S., Cited text span identification for scientific summarisation using pre-trained encoders (2020), in: Scientometrics

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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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Bannach-Brown, A., Przybyɫa, P., Thomas, J., Rice, A., Ananiadou, S., Liao, J. and Macleod, M. R., Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error (2019), in: Systematic Reviews, 8(23)

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Mo, Y., Kontonatsios, G. and Ananiadou, S., Supporting Systematic Reviews Using LDA-based Document Representations (2015), in: Systematic Reviews, 4(172)

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O'Mara-Eves, A., Thomas, J., McNaught, J., Miwa, M. and Ananiadou, S., Using text mining for study identification in systematic reviews: A systematic review of current approaches (2015), in: Systematic Reviews, 4:1

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Thompson, P. and 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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Piao, S., Tsuruoka, Y. and Ananiadou, S., Sentiment Analysis with Knowledge Resource and NLP Tools (2009), in: The International Journal of Interdisciplinary Social Sciences, 4:5(17--28)

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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. and 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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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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SÃ¦tre, R., Yoshida, K., Miwa, M., Matsuzaki, T., Kano, Y. and Tsujii, J., Extracting Protein-Interactions from Text with the Unified AkaneRE Event Extraction System (2010), in: Transactions on Computational Biology and Bioinformatics (TCBB), BioCreative II.5 Special Issue, 7:3(442-453)

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

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Ananiadou, S., Pyysalo, S., Tsujii, J. and Kell, D. B., Event extraction for systems biology by text mining the literature (2010), in: Trends in Biotechnology, 28:7(381-390)

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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)

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

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

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

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