Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

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

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

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Christopoulou, F., Tran, T. T., Sahu, S. K., Miwa, M. und Ananiadou, S., Adverse Drug Events and Medication Relation Extraction in EHRs with Ensemble Deep Learning Methods (2019), in: Journal of the American Medical Informatics Association(ocz101)

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Dwivedi, Y. K., Hughes, L., Bhadeshia, H. K. D. H., Ananiadou, S., Cohn, A. G., Cole, J. M., Conduit, G. J., Desarkar, M. S. und Wang, X., Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop (2023), in: International Journal of Information Management(102725)

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Espinosa, K., Batista-Navarro, R. und 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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Espinosa, K., Georgiadis, P., Christopoulou, F., Ju., M., Miwa, M. und Ananiadou, S., Comparing neural models for nested and overlapping biomedical event detection (2022), in: BMC Bioinformatics, 23(211)

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Espinosa, K., Miwa, M. und Ananiadou, S., A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection, in: Proceedings of EMNLP 2019, Seiten 3670-3677, 2019

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Frantzi, K. und Ananiadou, S., C-value for Authorship Identification, in: Proceedings of the 8th Conference on Forensic Linguistics, Language and Law, International Association of Forensic Linguistics, 2007

Goldsack, T., Luo, Z., Xie, Q., Scarton, C., Shardlow, M., Ananiadou, S. und Lin, C., BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles, in: Proceedings of BioNLP 2023, Seiten 468–477, 2023

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Hahn, U., Buyko, E., Tomanek, K., Piao, S., McNaught, J., Tsuruoka, Y. und Ananiadou, S., An Annotation Type System for a Data-Driven NLP Pipeline, in: Proceedings of the Linguistic Annotation Workshop, Seiten 33--40, Association for Computational Linguistics, 2007

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Hamulyak, E. N., Brockmeier, A. J., Killas, J. D., Ananiadou, S., Middeldorp, S. und Leroi, A. M., Women’s health in The BMJ: a data science history (2020), in: BMJ Open, 10(e039759)

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Hashimoto, K., Kontonatsios, G., Miwa, M. und 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. und Ananiadou, S., Using text mining to facilitate study identification in public health systematic reviews (2016), in: Guidelines International Network (G-I-N) conference

Hirohata, K., Okazaki, N., Ananiadou, S. und Ishizuka, M., Identifying Sections in Scientific Abstracts using Conditional Random Fields, in: Proceedings of the 3rd International Joint Conference on Natural Language Processing (IJCNLP 2008), Seiten 381-388, 2008

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Hua, Y., Liu, F., Yang, K, Li, Z., Sheu, Y., Zhou, P., Moran, L. V., Ananiadou, S. und Beam, A., Large Language Models in Mental Health Care: a Scoping Review, arXiv, 2024

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Husain, N, Chaudhry, I. B., Taylor, P., Ananiadou, S., Aseem, S., Green, J. und Poppleton, A., Youth Culturally adapted Manual Assisted Problem Solving Training (YCMAP) in Pakistani adolescent with a history of self harm: Protocol for multi-centre clinical and cost effectiveness randomised controlled trial (2022), in: BMJ Open, 12(e056301)

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Iliopoulos, I., Ananiadou, S., Danchin, A., Ioannidis, J. P. A., Katsikis, P. D., Ouzounis, C. A. und Promponas, V. J., Point of View: Hypothesis, analysis and synthesis, it's all Greek to me (2019), in: eLife, 8(e43514)

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Inan, E., Thompson, P., Christopoulou, F., Yates, T. und Ananiadou, S., Knowledge Graph Enrichment of a Semantic Search System for Construction Safety, in: Intelligent Systems and Applications. IntelliSys 2022., Seiten 33-52, Springer, Cham, 2022

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Inan, E., Thompson, P., Yates, T. und Ananiadou, S., HSEarch: semantic search system for workplace accident reports, in: Proceedings of the 43rd European Confererence on Information Retrieval (ECIR 2021), Seiten 514-519, 2021

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Ji, S., Zhang, T., Yang, K und Ananiadou, S., Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health, arXiv, 2023

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

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Ju., M., Nguyen, N. T. H., Miwa, M. und Ananiadou, S., An Ensemble of Neural Models for Nested Adverse Drug Events and Medication Extraction with Subwords (2019), in: Journal of the American Medical Informatics Association, 27:1(22-30)

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Ju., M., Short, A.D., Thompson, P., Bakerly, N. D., Gkoutos, G., Tsaprouni, L. und Ananiadou, S., Annotating and Detecting Phenotypic Information for Chronic Obstructive Pulmonary Disease (2019), in: JAMIA Open, 2:2(261-271)

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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 | 376-389 |

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