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Publications of Ananiadou, S. sorted by title
| 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 | 426-442 |
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| , and , Improving Search Through Event-based Biomedical Text Mining, in: Proceedings of the 1st Automated Motif Discovery in Cultural Heritage and Scientific Communication Texts (AMICUS) workshop, 2010 |
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| and , Improving Textual Emotion Recognition Based on Intra- and Inter-Class Variation (2021), in: IEEE Transactions on Affective Computing |
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| , , and , Incorporating Zoning Information into Argument Mining from Biomedical Literature, in: Proceedings of LREC 2022, páginas 6162-6169, 2022 |
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| , , and , Integrated NLP Evaluation System for Pluggable Evaluation Metrics with Extensive Interoperable Toolkit, in: Proceedings of the NAACL HLT Workshop on Software Engineering, Testing, and Quality Assurance for Natural Language Processing, páginas 22--30, 2009 |
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| , and , Integrating Annotation Tools into UIMA for Interoperability, in: Proceedings of the UK e-Science AHM Conference 2007, páginas 575--582, 2007 |
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| , , and , Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network, in: Proceedings of ACL 2019, páginas 4309-4316, 2019 |
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| , , , and , Interoperability and Customisation of Annotation Schemata in Argo, in: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland, páginas 3837-3842, European Language Resources Association (ELRA), 2014 |
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| and , Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, páginas 3293–3306, 2024 |
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| and , Introduction to Text Mining in Biology, in: Text Mining for Biology and Biomedicine, páginas 1--12, Artech House, Inc., 2006 |
| , and , Introduction: named entity recognition in biomedicine (2004), in: Journal of Biomedical Informatics, 37:6(393--395) |
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| , , and , Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts, in: Proceedings of the BioNLP 2018 workshop, páginas 183-188, 2018 |
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| , , and , Investigating Text Simplification Evaluation, in: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, páginas 876-882, 2021 |
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| , and , IRIS: Iterative Improvement of Distantly Supervised Named Entity Annotations, Research Square, 2024 |
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| , and , IRIS: Rapid Curation Framework for Iterative Improvement of Noisy Named Entity Annotations, in: Proceedings of the International Conference on Applications of Natural Language to Information Systems, páginas 58-69, 2025 |
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| , , , , , , and , Kleio: a knowledge-enriched information retrieval system for biology, in: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, Singapore, Singapore, páginas 787--788, ACM, 2008 |
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| , , , and , Knowledge Graph Enrichment of a Semantic Search System for Construction Safety, in: Intelligent Systems and Applications. IntelliSys 2022., páginas 33-52, Springer, Cham, 2022 |
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| , and , Knowledge-enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization (2023), in: IEEE Journal of Biomedical and Health Informatics |
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| , , , , , , , and , Large Language Models in Mental Health Care: a Scoping Review, arXiv, 2024 |
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| , , , , , , , , , , and , Large Language Models in Mental Health Care: A Scoping Review (2025), in: Current Treatment Options in Psychiatry, 12(27) |
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| , , , , , , , , , and , Large-scale event extraction from literature with multi-level gene normalization (2013), in: PLOS ONE, 8:4(e55814) |
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| , , and , Learning Disentangled Representations of Negation and Uncertainty, in: Proceedings of ACL 2022, páginas 8380–8397, 2022 |
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| , , and , Learning string similarity measures for gene/protein name dictionary look-up using logistic regression (2007), in: Bioinformatics, 23:20(2768-2774) |
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| , and , Learning to Classify Biomedical Terms through Literature Mining and Genetic Algorithms, in: Intelligent Data Engineering and Automated Learning – IDEAL 2004, páginas 345--351, Springer-Verlag, 2004 |
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| , and , 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 |
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| 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 | 426-442 |