Ananiadou, S. - NaCTeM Publications

BEKIJK
EXPORTEER
- Exporteer alle publicaties
- Exporteer auteur
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.

Voornamen:	S.
Achternamen:	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 |

Liu, Z., Liu, B, Thompson, P., Yang, K en Ananiadou, S., ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model, in: Proceedings of the 13th International Conference on Prestigious Applications of Intelligent Systems (PAIS-2024), 2024

[DOI]
[URL]

Liu, Z., Yang, K, Xie, Q., de Kock, C., Ananiadou, S. en Hovy, E., RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information, arXiv, 2024

[URL]

Liu, Z., Yang, K, Zhang, T., Xie, Q., Yu, Z. en Ananiadou, S., EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis, in: Proceedings of KDD 2024, pagina's 5487 - 5496, 2024

[URL]

Liu, Z., Zhang, T., Yang, K, Thompson, P., Yu, Z. en Ananiadou, S., Emotion detection for misinformation: A review (2024), in: Information Fusion, 107(102300)

[DOI]

Liu, Z., Zhang, X., Yang, K, Xie, Q., Huang, J. en Ananiadou, S., FMDLlama: Financial Misinformation Detection based on Large Language Models, arXiv, 2024

[URL]

Luo, Z., Liu, L., Ananiadou, S. en Xie, Q., Graph Contrastive Topic Model (2024), in: Expert Systems with Applications, 255:Part C(124631)

[DOI]
[URL]

Luo, Z., Xie, Q. en Ananiadou, S., The Lay Person’s Guide to Biomedicine: Orchestrating Large Language Models, arXiv, 2024

[URL]

Luo, Z., Xie, Q. en Ananiadou, S., Factual consistency evaluation of summarization in the Era of large language models (2024), in: Expert Systems with Applications, 254(124456)

[DOI]
[URL]

Luo, Z., Xie, Q. en Ananiadou, S., CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization, in: Proceedings of the ACM Web Conference, pagina's 1843–1852, 2023

[DOI]
[URL]

Luo, Z., Xie, Q. en Ananiadou, S., ChatGPT as a Factual Inconsistency Evaluator for Text Summarization, arXiv, 2023

[DOI]

Luo, Z., Xie, Q. en Ananiadou, S., Readability Controllable Biomedical Document Summarization, in: Findings of the Association for Computational Linguistics: EMNLP 2022, pagina's 4667–4680, 2022

[URL]

Luo, Z., Yuan, C., Xie, Q. en Ananiadou, S., Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams, arXiv, 2024

[URL]

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

[URL]

Matsuoka, Y., Ghosh, S., Kikuchi, N., SÃ¦tre, R., Kemper, B., Okazaki, N., Ananiadou, S., Tsujii, J. en Kitano, H., Community Platform for Pathway Model Building, in: 10th International Conference on Systems Biology, pagina's 139-140, Stanford University, 2009

[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]

Meziane, F., Athanasakis, N. en Ananiadou, S., Generating Natural Language specifications from UML class diagrams (2008), in: Requirements Engineering, 13:1(1--18)

MihÄƒilÄƒ, C. en Ananiadou, S., The Meta-knowledge of Causality in Biomedical Scientific Discourse, in: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland, pagina's 1984-1991, European Language Resources Association (ELRA), 2014

[URL]

MihÄƒilÄƒ, C. en Ananiadou, S., Semi-supervised learning of causal relations in biomedical scientific discourse (2014), in: BioMedical Engineering OnLine, 13:Suppl 2(S1)

[DOI]
[URL]

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 Ananiadou, S., Recognising Discourse Causality Triggers in the Biomedical Domain (2013), in: Journal of Bioinformatics and Computational Biology, 11:6(1343008)

[DOI]

MihÄƒilÄƒ, C. en Ananiadou, S., A Hybrid Approach to Recognising Discourse Causality in the Biomedical Domain, in: Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2013, Shanghai, China, pagina's 361-366, IEEE, 2013

MihÄƒilÄƒ, C., Batista-Navarro, R., Alnazzawi, N., Kontonatsios, G., Korkontzelos, I., Rak, R., Thompson, P. en Ananiadou, S., Mining the biomedical literature, in: Healthcare Data Analytics, pagina's 251-308, CRC Press, 2015

[URL]

MihÄƒilÄƒ, C., Batista-Navarro, R. en Ananiadou, S., Analysing Entity Type Variation across Biomedical Subdomains, in: Proceedings of the Third Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2012), Istanbul, Turkey, pagina's 1-7, 2012

[URL]

MihÄƒilÄƒ, C., Kontonatsios, G., Batista-Navarro, R., Thompson, P., Korkontzelos, I. en Ananiadou, S., Towards a Better Understanding of Discourse: Integrating Multiple Discourse Annotation Perspectives Using UIMA, in: Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse, Association for Computational Linguistics, Sofia, Bulgaria, pagina's 79-88, 2013

[URL]

MihÄƒilÄƒ, C., Ohta, T., Pyysalo, S. en Ananiadou, S., BioCause: Annotating and Analysing Causality in the Biomedical Domain (2013), in: BMC Bioinformatics, 14:1(2)

[DOI]
[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 |

Tijd voor verwerking: 0.0853 seconden.