Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

BROWSE
EXPORT
- Export all publications
- Export author
SORT BY
- Author
- Title
- Type/Journal
- Year
- Recently added
SITE
- Help
- About this site
GUEST USER
Guest
LOGIN
Name:

Password:

Deutsch, English, Nederlands, Norsk, Português, <more...>

First name(s):	S.
Last name(s):	Ananiadou

| 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 | 376-400 | 401-407 |

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

[URL]

Christopoulou, F., Tran, T. T., Sahu, S. K., Miwa, M. and 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)

[DOI]
[URL]

Dwivedi, Y. K., Hughes, L., Bhadeshia, H. K. D. H., Ananiadou, S., Cohn, A. G., Cole, J. M., Conduit, G. J., Desarkar, M. S. and Wang, X., Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop (2024), in: International Journal of Information Management(102725)

[DOI]
[URL]

Espinosa, K., Batista-Navarro, R. and 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

[URL]

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

[DOI]
[URL]

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

[URL]

Frantzi, K. and 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. and Lin, C., Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles, in: Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, pages 468-477, 2024

[DOI]
[URL]

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

[URL]

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

attachment

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

[DOI]
[URL]

Hashimoto, K., Kontonatsios, G., Miwa, M. and Ananiadou, S., Topic Detection Using Paragraph Vectors to Support Active Learning in Systematic Reviews (2016), in: Journal of Biomedical Informatics, 62(59â€“65)

[DOI]
[URL]

Haynes, C., Kay, N., Harrison, K., McLeod, C., Shaw, B., Leng, G., Kontonatsios, G. and 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. and 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), pages 381-388, 2008

attachment

Hu, G., Qin, K., Yuan, C., Peng, M., Lopez-Lira, A., Wang, B., Ananiadou, S., Huang, J. and Xie, Q., No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks, arXiv, 2024

[URL]

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

[URL]

Husain, N, Chaudhry, I. B., Taylor, P., Ananiadou, S., Aseem, S., Green, J. and 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)

[DOI]
[URL]

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

[DOI]
[URL]

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

[DOI]
[URL]

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

[URL]

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

[URL]

Ji, S., Zhang, T., Yang, K and Ananiadou, S., Rethinking large language models in mental health applications, arXiv, 2023

[URL]

| 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 | 376-400 | 401-407 |

processing time: 0.0835 seconds.