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

Publikationen von Ananiadou, S. sortiert nach Titel


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Kano, Y., Miwa, M., Cohen, K. B., Hunter, L., Ananiadou, S. und Tsujii, J., U-Compare: a modular NLP workflow construction and evaluation system (2011), in: IBM Journal of Research and Development, 55:3(11:1 - 11:10)
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Kano, Y., Dorado, R., McCrochon, L., Ananiadou, S. und Tsujii, J., U-Compare: An integrated language resource evaluation platform including a comprehensive UIMA resource library, in: Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010), Seiten 428--434, 2010
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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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Kontonatsios, G., Korkontzelos, I., Tsujii, J. und Ananiadou, S., Using a Random Forest Classifier to Compile Bilingual Dictionaries of Technical Terms from Comparable Corpora, in: Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, Association for Computational Linguistics, Gothenburg, Sweden, Seiten 111-116, Association for Computational Linguistics, 2014
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Kontonatsios, G., Korkontzelos, I., Tsujii, J. und Ananiadou, S., Using Random Forest to recognise translation equivalents of biomedical terms across languages, in: Proceedings of the Sixth Workshop on Building and Using Comparable Corpora, Sofia, Bulgaria, Seiten 95-104, Association for Computational Linguistics, 2013
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Mihăilă, C. und Ananiadou, S., What causes a causal relation? Detecting causal triggers in biomedical scientific discourse, in: 51st Annual Meeting of the Association for Computational Linguistics Proceedings of the Student Research Workshop, Sofia, Bulgaria, Seiten 38-45, Association for Computational Linguistics, 2013
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Yuan, C., Xie, Q. und Ananiadou, S., Zero-shot Temporal Relation Extraction with ChatGPT, in: Proceedings of BioNLP 2023, Seiten 92–102, 2023
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