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Goldsack, T., Luo, Z., Xie, Q., Scarton, C., Shardlow, M., Ananiadou, S. en Lin, C., BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles, in: Proceedings of BioNLP 2023, pagina's 468–477, 2023

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

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

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Hanaoka, H., Mima, H. en Tsujii, J., A Japanese Particle Corpus Built by Example-Based Annotation, in: Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC2010), pagina's 1876--1880, 2010

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Hara, T., Miyao, Y. en Tsujii, J., Effective Analysis of Causes and Inter-dependencies of Parsing Errors, in: Proceedings of the 11th International Conference on Parsing Technologies (IWPT-09)., pagina's 180--191, 2009

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Hara, T., Miyao, Y. en Tsujii, J., Evaluating Impact of Re-training a Lexical Disambiguation Model on Domain Adaptation of an HPSG Parser, in: Proceedings of the Tenth International Conference on Parsing Technologies (IWPT 2007), pagina's 11--22, 2007

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Hara, T., Miyao, Y. en Tsujii, J., Adapting a probabilistic disambiguation model of an HPSG parser to a new domain, in: Natural Language Processing â€“ IJCNLP 2005, pagina's 199--210, Springer-Verlag, 2005

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Hashimoto, K., Kontonatsios, G., Miwa, M. en 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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Hatori, J., Miyao, Y. en Tsujii, J., On Contribution of Sense Dependencies to Word Sense Disambiguation (2009), in: Information and Media Technologies, 4:4(1129--1155)

Hatori, J., Murakami, A. en Tsujii, J., Multi-Topical Discussion Summarization using Structured Lexical Chains and Cue Words, in: Proceedings of CICLing 2011, Lecture Notes in Computer Science, pagina's 313-327, Springer, 2011

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Haynes, C., Kay, N., Harrison, K., McLeod, C., Shaw, B., Leng, G., Kontonatsios, G. en 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. en 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), pagina's 381-388, 2008

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Hua, Y., Liu, F., Yang, K, Li, Z., Sheu, Y., Zhou, P., Moran, L. V., Ananiadou, S. en 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. en 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. en 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. en Ananiadou, S., Knowledge Graph Enrichment of a Semantic Search System for Construction Safety, in: Intelligent Systems and Applications. IntelliSys 2022., pagina's 33-52, Springer, Cham, 2022

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Inan, E., Thompson, P., Yates, T. en Ananiadou, S., HSEarch: semantic search system for workplace accident reports, in: Proceedings of the 43rd European Confererence on Information Retrieval (ECIR 2021), pagina's 514-519, 2021

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Iwasawa, S., Hanaoka, H., Matsuzaki, T., Miyao, Y. en Tsujii, J., A Collaborative Annotation between Human Annotators and a Statistical Parser, in: Proceedings of the 5th Linguistic Annotation Workshop, pagina's 56--64, Association for Computational Linguistics, 2011

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Ji, S., Zhang, T., Yang, K en 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. en Ananiadou, S., A Neural Layered Model for Nested Named Entity Recognition, in: Proceedings of NAACL 2018, pagina's 1446-1459, 2018

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Ju., M., Nguyen, N. T. H., Miwa, M. en 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. en Ananiadou, S., Annotating and Detecting Phenotypic Information for Chronic Obstructive Pulmonary Disease (2019), in: JAMIA Open, 2:2(261-271)

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Kano, Y., Baumgartner Jr., W. A, McCrochon, L., Ananiadou, S., Cohen, K. B., Hunter, L. en Tsujii, J., U-Compare: share and compare text mining tools with UIMA (2009), in: Bioinfomatics, 25:15(1997--1998)

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