Publicatielijst - NaCTeM Publications

BEKIJK
EXPORTEER
- Exporteer alle publicaties
SORTEER OP
- Auteur
- Titel
- Type/tijdschrift
- Jaar
- Toevoegdatum
SYSTEEM
- Help
- Over deze site
GASTGEBRUIKER
Guest
AANMELDEN
Naam:

wachtwoord:

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

Dear guest, welcome to this publication database. As an anonymous user, you will probably not have edit rights. Also, the collapse status of the topic tree will not be persistent. If you like to have these and other options enabled, you might ask Admin for a login account.

This site is powered by Aigaion - A PHP/Web based management system for shared and annotated bibliographies. For more information visit www.aigaion.de.

| 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 | 401-425 | 426-450 | 451-475 | 476-500 | 501-525 | 526-546 |

Lyte, V., Jones, S., Ananiadou, S. en Kerr, L., UK Institutional Repository Search: Innovation and Discovery (2009), in: Ariadne, 61

[URL]

McEntyre, J. R., Ananiadou, S., Andrews, S., Black, W.J., Boulderstone, R., Buttery, P., Chaplin, D., Chevuru, S., Cobley, N., Coleman, L., Davey, P., Gupta, B., Haji-Gholam, L., Hawkins, C., Horne, A., Hubbard, S. J., Kim, J. -H., Lewin, I., Lyte, V., MacIntyre, R., Mansoor, S., Mason, L., McNaught, J., Newbold, E., Nobata, C., Ong, E., Pillai, S., Rebholz-Schuhmann, D., Rosie, H., Rowbotham, R., Rupp, C. J., Stoehr, P. en Vaughan, P., UKPMC: a full text article resource for the life sciences (2010), in: Nucleic Acids Research, 39:Suppl. 1(D58-D65)

[DOI]

Yu, Z. en Ananiadou, S., Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering, arXiv, 2024

[URL]

Vasquez-Rodriguez, L., Nguyen, N. T. H., Shardlow, M. en Ananiadou, S., UoM&MMU at TSAR-2022 Shared Task: Prompt Learning for Lexical Simplification, in: Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), pagina's 218-224, 2022

[URL]

Sutcliffe, A., Thew, S., de Bruijn, O., Buchan, I., Jarvis, P., McNaught, J. en Procter, R., User Engagement by User-Centred Design in e-Health (2010), in: Philosophical Transactions of the Royal Society A, 368:1926(4209-4224)

[DOI]
[URL]

Kontonatsios, G., Korkontzelos, I., Tsujii, J. en Ananiadou, S., Using a Random Forest Classifier to Compile Bilingual Dictionaries of Technical Terms from Comparable Corpora, in: Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, Association for Computational Linguistics, Gothenburg, Sweden, pagina's 111-116, Association for Computational Linguistics, 2014

[URL]

SpasiÄ‡, I. en Ananiadou, S., Using automatically learnt verb selectional preferences for classification of biomedical terms (2004), in: Journal of Biomedical Informatics, 37:6(483--497)

Kontonatsios, G., Korkontzelos, I., Tsujii, J. en Ananiadou, S., Using Random Forest to recognise translation equivalents of biomedical terms across languages, in: Proceedings of the Sixth Workshop on Building and Using Comparable Corpora, Sofia, Bulgaria, pagina's 95-104, Association for Computational Linguistics, 2013

[URL]

O'Mara-Eves, A., Thomas, J., McNaught, J., Miwa, M. en Ananiadou, S., Using text mining for study identification in systematic reviews: A systematic review of current approaches (2015), in: Systematic Reviews, 4:1

[DOI]
[URL]

Alnazzawi, N., Thompson, P., Batista-Navarro, R. en Ananiadou, S., Using text mining techniques to extract phenotypic information from the PhenoCHF corpus (2015), in: BMC Medical Informatics and Decision Making, 15:Suppl. 2(S3)

[DOI]
[URL]

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

Zerva, C., Batista-Navarro, R., Day, P. J. R. en Ananiadou, S., Using uncertainty to link and rank evidence from biomedical literature for model curation (2017), in: Bioinformatics

[DOI]
[URL]

Kolluru, B., Hawizy, L., Murray-Rust, P., Tsujii, J. en Ananiadou, S., Using Workflows to Explore and Optimise Named Entity Recognition for Chemistry (2011), in: PLoS ONE, 6:5(e20181)

[DOI]

MihÄƒilÄƒ, C. en Ananiadou, S., What causes a causal relation? Detecting causal triggers in biomedical scientific discourse, in: 51st Annual Meeting of the Association for Computational Linguistics Proceedings of the Student Research Workshop, Sofia, Bulgaria, pagina's 38-45, Association for Computational Linguistics, 2013

[URL]

MihÄƒilÄƒ, C. en Batista-Navarro, R., What's in a Name? Entity Type Variation across Two Biomedical Subdomains, in: Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics, Avignon, France, pagina's 38-45, Association for Computational Linguistics, 2012

[URL]

Pyysalo, S., SÃ¦tre, R., Tsujii, J. en Salakoski, T., Why Biomedical Relation Extraction Results are Incomparable and What to do about it, in: Proceedings of the Third International Symposium on Semantic Mining in Biomedicine (SMBM 2008), pagina's 149--152, 2008

[URL]

Miwa, M., Pyysalo, S., Ohta, T. en Ananiadou, S., Wide coverage biomedical event extraction using multiple partially overlapping corpora (2013), in: BMC Bioinformatics, 14:175

[DOI]
[URL]

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)

[DOI]
[URL]

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)

[DOI]
[URL]

Yuan, C., Xie, Q. en Ananiadou, S., Zero-shot Temporal Relation Extraction with ChatGPT, in: Proceedings of BioNLP 2023, pagina's 92–102, 2023

[URL]

Tijd voor verwerking: 0.0706 seconden.