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Przybyɫa, P.
Vorname(n): P.
Nachname(n): Przybyɫa

Publikationen von Przybyɫa, P. sortiert nach erstem Autor

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Brockmeier, A. J., Ju., M., Przybyɫa, P. und Ananiadou, S., Improving reference prioritisation with PICO recognition (2019), in: BMC Medical Informatics and Decision Making, 19(256)
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P

Przybyɫa, P., Brockmeier, A. J. und Ananiadou, S., Quantifying Risk Factors in Medical Reports with a Context-Aware Linear Model (2019), in: Journal of the American Medical Informatics Association, 26:6(537–546)
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Przybyɫa, P., Shardlow, M., Aubin, S., Bossy, R., {Eckart de Castilho}, R., Piperidis, S., McNaught, J. und Ananiadou, S., Text Mining Resources for the Life Sciences (2016), in: Database: The Journal of Biological Databases and Curation(baw145)
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Przybyɫa, P., Soto, A. und 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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Soto, A., Przybyɫa, P. und Ananiadou, S., Thalia: Semantic search engine for biomedical abstracts (2018), in: Bioinformatics, 35:10(1799–1801)
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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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