Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

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Vorname(n):	S.
Nachname(n):	Ananiadou

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Nghiem, M-. Q., Baylis, P., Freitas, A. und Ananiadou, S., Text Classification and Prediction in the Legal Domain, Seiten 4717-4722, 2022

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Vasquez-Rodriguez, L., Nguyen, N. T. H., Shardlow, M. und 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), Seiten 218-224, 2022

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

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Navarro, T., Parrish, R., Cotoi, C., Germini, F., Linkins, L., Iorio, A., Haynes, R. B., Ananiadou, S. und Lokker, C., A Deep Learning Approach to Refine the Identification of High-Quality Clinical Research Articles From the Biomedical Literature: Protocol for Algorithm Development and Validation (2021), in: JMIR Research Protocols, 10:11(e29398)

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Zerva, C., Taylor, S., Soto, A., Nguyen, N. T. H. und Ananiadou, S., A term-based and citation network-based search system for COVID-19 (2021), in: JAMIA Open, 4:4(ooab104)

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Zhang, T., Schoene, A und Ananiadou, S., Automatic identification of suicide notes with a transformer-based deep learning model (2021), in: Internet Interventions(100422)

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Christopoulou, F., Miwa, M. und Ananiadou, S., Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors, in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), Seiten 11-26, 2021

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Cao, J., van Veen, E. M., Peek, N., Renehan, A. G und Ananiadou, S., EPICURE: Ensemble Pretrained Models for Extracting Cancer Mutations from Literature, in: Proceedings of IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), Seiten 461-467, 2021

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Cao, J. und Ananiadou, S., GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction, in: Findings of EMNLP, Seiten 2119–2126, 2021

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

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Alhuzali, H. und Ananiadou, S., Improving Textual Emotion Recognition Based on Intra- and Inter-Class Variation (2021), in: IEEE Transactions on Affective Computing

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Vasquez-Rodriguez, L., Shardlow, M., Przybyɫa, P. und Ananiadou, S., Investigating Text Simplification Evaluation, in: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, Seiten 876-882, 2021

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Wang, K., Stevens, R., Alachram, H., Li, Y., Soldatova, L. N., King, R. D., Ananiadou, S., Schoene, A, Li, M., Christopoulou, F., Ambite, J. L., Matthew, J., Garg, S., Hermjakob, U., Marcu, D., Sheng, E., Beissbarth, T., Wingender, E., Galstyan, A., Gao, X., Chambers, B., Pan, W., Khomtchouk, B. B., Evans, J. A. und Rzhetsky, A., NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding (2021), in: npj systems biology and applications, 7(38)

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Tran, T. T., Le, P. und Ananiadou, S., One-shot to Weakly-Supervised Relation Classification using Language Models, in: Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

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Nghiem, M-. Q., Baylis, P. und Ananiadou, S., Paladin: an annotation tool based on active and proactive learning, in: Proceedings of the 16th conference of the European Chapter of the Association for Computational Linguistics (EACL 2021): System Demonstrations, Seiten 238–243, 2021

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Alhuzali, H., Zhang, T. und Ananiadou, S., Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier., in: CLEF (Working Notes), 2021

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Alhuzali, H. und Ananiadou, S., SpanEmo: Casting Multi-label Emotion Classification as Span-prediction, in: Proceedings 16th conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), Seiten 1573–1584, 2021

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Vasquez-Rodriguez, L., Shardlow, M., Przybyɫa, P. und Ananiadou, S., The Role of Text Simplification Operations in Evaluation, in: Proceedings of the First Workshop on Current Trends in Text Simplification (CTTS-2021), Seiten 57-69, 2021

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Li, M., Takamura, H. und Ananiadou, S., A Neural Model for Aggregating Coreference Annotation in Crowdsourcing, in: Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), Seiten 5760-5773, 2020

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Zerva, C., Nghiem, M-. Q., Nguyen, N. T. H. und Ananiadou, S., Cited text span identification for scientific summarisation using pre-trained encoders (2020), in: Scientometrics

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Trieu, H-L., Tran, T. T., Duong, K. N. A., Nguyen, A., Miwa, M. und Ananiadou, S., DeepEventMine: End-to-end Neural Nested Event Extraction from Biomedical Texts (2020), in: Bioinformatics(btaa540)

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Leroi, A. M., Lambert, B. C., Mauch, M., Papadopoulou, M., Ananiadou, S., Lindberg, S. I. I. und Lindenfors, P., On revolutions (2020), in: Palgrave Communications, 6(4)

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Tran, T. T., Le, P. und Ananiadou, S., Revisiting Unsupervised Relation Extraction, in: Proceedings of ACL 2020, Seiten 7498–7505, 2020

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Thompson, P., Yates, T., Inan, E. und Ananiadou, S., Semantic Annotation for Improved Safety in Construction Work, in: Proceedings of LREC 2020, Seiten 1983‑1992, 2020

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Tran, T. T., Miwa, M. und Ananiadou, S., Syntactically-Informed Word Representations from Graph Neural Network (2020), in: Neurocomputing, 413(431-443)

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