Ananiadou, S.
Voornamen: S.
Achternamen: Ananiadou

Alle publicaties voor Ananiadou, S.

2018
Wang, Y., Ananiadou, S. en Tsujii, J., Improve Chinese Clinical Named Entity Recognition Performance by Using the Graphical and Phonetic Feature, in: Proceedings of the 2018 International Workshop on Biomedical and Health Informatics, 2018
[URL]
Zerva, C. en Ananiadou, S., Paths for uncertainty: Exploring the intricacies of uncertainty identification for news, in: Proceedings of the NAACL Workshop on Computational Semantics Beyond Events and Roles (SemBEaR), pagina's 6-20, 2018
[URL]
Soto, A., Przybyɫa, P. en Ananiadou, S., Thalia: Semantic search engine for biomedical abstracts (2018), in: Bioinformatics, 35:10(1799–1801)
[DOI]
[URL]
2017
Batista-Navarro, R., Zerva, C., Nguyen, N. T. H. en Ananiadou, S., A Text Mining-Based Framework for Constructing an RDF-Compliant Biodiversity Knowledge Repository, pagina's 30-42, Springer, Communications in Computer and Information Science, deel 656, 2017
[DOI]
[URL]
Mu, T., Goulermas, J. Y en Ananiadou, S., Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods (2017), in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 99
[DOI]
[URL]
Thompson, P. en Ananiadou, S., Extracting Gene-Disease Relations from Text to Support Biomarker Discovery, in: Proceedings of the 7th International conference on Digital Health, pagina's 180-189, 2017
[DOI]
[URL]
Przybyɫa, P., Soto, A. en 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
[URL]
Li, M., Nguyen, N. T. H. en Ananiadou, S., Proactive Learning for Named Entity Recognition, in: Proceedings of BioNLP 2017, pagina's 117--125, Association for Computational Linguistics, 2017
[URL]
Ananiadou, S. en Thompson, P., Supporting Biological Pathway Curation Through Text Mining, in: Data Analytics and Management in Data Intensive Domains, pagina's 59-73, Springer, 2017
[DOI]
[URL]