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Thompson, P., Daikou, S., Ueno, K., Batista-Navarro, R., Tsujii, J. and Ananiadou, S., Annotation and Detection of Drug Effects in Text for Pharmacovigilance (2018), in: Journal of Cheminformatics, 10(37)

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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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Trieu, H-L., Nguyen, N. T. H., Miwa, M. and Ananiadou, S., Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts, in: Proceedings of the BioNLP 2018 workshop, páginas 183-188, 2018

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

Shardlow, M., Batista-Navarro, R., Thompson, P., Nawaz, R., McNaught, J. and 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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Almagrabi, H., Malibari, A. and McNaught, J., Corpus Analysis and Annotation for Helpful Sentences in Product Reviews (2018), in: Computer and Information Science, 11:2(76-87)

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

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Zerva, C. and 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), páginas 6-20, 2018

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

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Arase, Y. and Tsujii, J., Monolingual Phrase Alignment on Parse Forests, in: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, páginas 1-11, 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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Shardlow, M., Nguyen, N. T. H., Owen, G., Turner, S., O'Donovan, C., Leach, A., McNaught, J. and Ananiadou, S., A New Corpus to Support Text Mining for the Curation of Metabolites in the ChEBI Database, in: Proceedings of LREC 2018, páginas 280-285, 2018

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

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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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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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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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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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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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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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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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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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| 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 | 526-550 | 551-565 |

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