Lista de publicações - NaCTeM Publications

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Korkontzelos, I., Thompson, P. and Ananiadou, S., Identifying content types of messages related to Open Source Software projects, in: Proceedings of LREC 2016, páginas 1837-1844, 2016

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Espinosa, K., Batista-Navarro, R. and Ananiadou, S., Learning to recognise named entities in Tweets by exploiting weakly labelled data, in: Proceedings of the 2nd Workshop on Noisy User-generated Text (W-NUT 2016), 2016

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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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Przybyɫa, P., Nguyen, N. T. H., Shardlow, M., Kontonatsios, G. and Ananiadou, S., NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features, in: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), páginas 614-620, 2016

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Black, W.J., Rowley, A., Miwa, M., McNaught, J. and Ananiadou, S., Text Mining for Semantic Search in Europe PubMed Central Labs, in: Working with Text: Tools, Techniques and Approaches for Text Mining, páginas 111-132, Elsevier, 2016

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Przybyɫa, P., Shardlow, M., Aubin, S., Bossy, R., {Eckart de Castilho}, R., Piperidis, S., McNaught, J. and Ananiadou, S., Text Mining Resources for the Life Sciences (2016), in: Database: The Journal of Biological Databases and Curation(baw145)

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Thompson, P., Batista-Navarro, R., Kontonatsios, G., Carter, J., Toon, E., McNaught, J., Timmermann, C., Worboys, M. and Ananiadou, S., Text Mining the History of Medicine (2016), in: PLOS One, 11:1(e0144717)

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Batista-Navarro, R., Soto, A., Ulate, W. and Ananiadou, S., Text Mining Workflows for Indexing Archives with Automatically Extracted Semantic Metadata, in: Proceedings of the 20th International Conference on Theory and Practice of Digital Libraries (TPDL 2016), páginas 471â€“473, Springer, 2016

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Rehm, G., Uszkoreit, H., Ananiadou, S., Bel, N., Bieleviciene, A., Borin, L., Branco, A., Budin, G., Calzolari, N., Daelemans, W., Garabik, R., Grobelnik, M., Garcia-Mateo, C., Van Genabith, J., Hajic, J., Hernaez, I., Judge, J., Koeva, S., Krek, S., Krstev, C., Linden, K., Magnini, B., Mariani, J., McNaught, J., Melero, M., Monachini, M., Moreno, A., Odijk, J., Ogrodniczuk, M., Pezik, P., Piperidis, S., Przepiorkowski, A., Rognvaldsson, E., Rosner, M., Pedersen, B., Skadina, I., De Smedt, K., Tadic, M., Thompson, P., Tufis, D., Varadi, T., Vasiljevs, A., Vider, K. and Zabarskaite, J., The strategic impact of META-NET on the regional, national and international level (2016), in: Language Resources and Evaluation, 50:2(351-374)

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Hashimoto, K., Kontonatsios, G., Miwa, M. and Ananiadou, S., Topic Detection Using Paragraph Vectors to Support Active Learning in Systematic Reviews (2016), in: Journal of Biomedical Informatics, 62(59â€“65)

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Haynes, C., Kay, N., Harrison, K., McLeod, C., Shaw, B., Leng, G., Kontonatsios, G. and Ananiadou, S., Using text mining to facilitate study identification in public health systematic reviews (2016), in: Guidelines International Network (G-I-N) conference

Bollegala, D., Kontonatsios, G. and Ananiadou, S., A Cross-lingual Similarity Measure for Detecting Biomedical Term Translations (2015), in: PLOS ONE, 10:6(e0126196)

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Almagrabi, H., Malibari, A. and McNaught, J., A Survey of Quality Prediction of Product Reviews (2015), in: International Journal of Advanced Computer Science and Applications, 6:11(49-58)

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Miwa, M. and Ananiadou, S., Adaptable, high recall, event extraction system with minimal configuration (2015), in: BMC Bioinformatics, 16:Suppl 10.(S7)

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Batista-Navarro, R. and Ananiadou, S., Adapting ChER for the recognition of chemical mentions in patents, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, páginas 149-153, 2015

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Batista-Navarro, R. and Ananiadou, S., Augmenting the Medical Subject Headings vocabulary with semantically rich variants to improve disease mention normalisation, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, páginas 311-316, 2015

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Xu, Y., Chen, L., Wei, J., Ananiadou, S., Fan, Y., Qian, Y., Chang, E. I-C. and Tsujii, J., Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary (2015), in: BMC Bioinformatics, 16(149)

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Korkontzelos, I., Piliouras, D., Dowsey, A. and Ananiadou, S., Boosting Drug Named Entity Recognition using an Aggregate Classifier (2015), in: Artificial Intelligence in Medicine (AIIM), Special issue of ICHI 2013 conference

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Thompson, P., McNaught, J. and Ananiadou, S., Customised OCR Correction for Historical Medical Text, in: Proceedings of DigitalHeritage 2015, páginas 35 - 42, 2015

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Batista-Navarro, R., Carter, J. and Ananiadou, S., Development of bespoke machine learning and biocuration workflows in a BioC-supporting text mining workbench, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, páginas 51-56, 2015

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The Europe PMC Consortium, Europe PMC: a full-text literature database for the life sciences and platform for innovation (2015), in: Nucleic Acids Research, 43:D1(D1042-D1048)

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Zerva, C. and Ananiadou, S., Event Extraction in pieces: Tackling the partial event identification problem on unseen corpora, in: Proceedings of the 2015 Workshop on Biomedical Natural Language Processing (BioNLP 2015), páginas 31-41, 2015

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MihÄƒilÄƒ, C., Batista-Navarro, R., Alnazzawi, N., Kontonatsios, G., Korkontzelos, I., Rak, R., Thompson, P. and Ananiadou, S., Mining the biomedical literature, in: Healthcare Data Analytics, páginas 251-308, CRC Press, 2015

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Batista-Navarro, R., Rak, R. and Ananiadou, S., Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics (2015), in: Journal of Cheminformatics, 7:Suppl 1(S6)

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