Ananiadou, S. - NaCTeM Publications

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

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Trieu, H-L., Tran, T. T., Duong, K. N. A., Nguyen, A., Miwa, M. und Ananiadou, S., DeepEventMine: End-to-end Neural Nested Event Extraction from Biomedical Texts (2020), in: Bioinformatics(btaa540)

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Tsujii, J. und Ananiadou, S., Thesaurus or Logical Ontology, Which One Do We Need for Text Mining? (2005), in: Language Resources and Evaluation, 39:1(77-90)

Tsuruoka, Y., Ananiadou, S. und Tsujii, J., A Machine Learning Approach To Acronym Generation, in: Proceedings of the Workshop On Linking Biological Literature Ontologies And Databases: Mining Biological Semantics (BioLink 2005), Seiten 25-31, 2005

Tsuruoka, Y., McNaught, J. und Ananiadou, S., Normalizing biomedical terms by minimizing ambiguity and variability (2008), in: BMC Bioinformatics, 9:Suppl 3(S2)

Tsuruoka, Y., McNaught, J., Tsujii, J. und Ananiadou, S., Learning string similarity measures for gene/protein name dictionary look-up using logistic regression (2007), in: Bioinformatics, 23:20(2768-2774)

Tsuruoka, Y., Miwa, M., Hamamoto, K., Tsujii, J. und Ananiadou, S., Discovering and visualizing indirect associations between biomedical concepts (2011), in: Bioinformatics, 27:13(i111-i119)

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Tsuruoka, Y., Tateisi, Y., Kim, J.-D., Ohta, T., McNaught, J., Ananiadou, S. und Tsujii, J., Developing a Robust Part-of-Speech Tagger for Biomedical Text, in: Advances in Informatics - 10th Panhellenic Conference on Informatics, Seiten 382--392, Springer-Verlag, 2005

Tsuruoka, Y., Tsujii, J. und Ananiadou, S., Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty, in: ACL-IJCNLP 2009, Seiten 477--485, 2009

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Tsuruoka, Y., Tsujii, J. und Ananiadou, S., Fast Full Parsing by Linear-Chain Conditional Random Fields, in: Proceedings of the 12th Conference of European Chapter of the Association for Computational Linguistics (EACL-09), Seiten 790--798, 2009

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Tsuruoka, Y., Tsujii, J. und Ananiadou, S., FACTA: a text search engine for finding associated biomedical concepts (2008), in: Bioinformatics, 24:21(2259-60)

Tsuruoka, Y., Tsujii, J. und Ananiadou, S., Accelerating the annotation of sparse named entities by dynamic sentence selection (2008), in: BMC Bioinformatics, 9:Suppl 11(S8)

Tsuruoka, Y., Tsujii, J. und Ananiadou, S., Accelerating the Annotation of Sparse Named Entities by Dynamic Sentence Selection, in: Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP 2008), Seiten 30--37, Association for Computational Linguistics, 2008

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. und Ginter, F., Large-scale event extraction from literature with multi-level gene normalization (2013), in: PLOS ONE, 8:4(e55814)

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Vasilakes, J., Georgiadis, P., Nguyen, N. T. H., Miwa, M. und Ananiadou, S., Contextualized Medication Event Extraction with Levitated Markers (2023), in: Journal of Biomedical Informatics(104347)

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Vasilakes, J., Zerva, C., Miwa, M. und Ananiadou, S., Learning Disentangled Representations of Negation and Uncertainty, in: Proceedings of ACL 2022, Seiten 8380–8397, 2022

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Vasquez-Rodriguez, L., Nguyen, N. T. H., Shardlow, M. und Ananiadou, S., UoM&MMU at TSAR-2022 Shared Task: Prompt Learning for Lexical Simplification, in: Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), Seiten 218-224, 2022

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Vasquez-Rodriguez, L., Shardlow, M., Przybyɫa, P. und Ananiadou, S., Investigating Text Simplification Evaluation, in: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, Seiten 876-882, 2021

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Vasquez-Rodriguez, L., Shardlow, M., Przybyɫa, P. und Ananiadou, S., The Role of Text Simplification Operations in Evaluation, in: Proceedings of the First Workshop on Current Trends in Text Simplification (CTTS-2021), Seiten 57-69, 2021

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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. und 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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Venturi, G., Montemagni, S., Marchi, S., Sasaki, Y., Thompson, P., McNaught, J. und Ananiadou, S., Bootstrapping a Verb Lexicon for Biomedical Information Extraction, in: Proceedings of the 10th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2009), Seiten 137--148, Springer, 2009

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Wang, K., Stevens, R., Alachram, H., Li, Y., Soldatova, L. N., King, R. D., Ananiadou, S., Schoene, A, Li, M., Christopoulou, F., Ambite, J. L., Matthew, J., Garg, S., Hermjakob, U., Marcu, D., Sheng, E., Beissbarth, T., Wingender, E., Galstyan, A., Gao, X., Chambers, B., Pan, W., Khomtchouk, B. B., Evans, J. A. und Rzhetsky, A., NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding (2021), in: npj systems biology and applications, 7(38)

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Wang, X. und Ananiadou, S., A Task-Oriented Extension of the Chinese MeSH Concepts Hierarchy, in: Proceedings of the Second Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM), LREC 2010, Seiten 23--30, 2010

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