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Min, E., Rong, Y, Xu, T., Bian, Y., Zhao, P., Da, L., Lin, K., Ananiadou, S. en Huang, J., Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer, in: Proceedings of SIGIR 2022, pagina's 353-362, 2022

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Li, M. en Ananiadou, S., Neural Architectures for Aggregating Sequence Labels from Multiple Annotators (2022), in: Neurocomputing

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Xie, Q., Bishop, J., Tiwari, P. en Ananiadou, S., Pre-trained language models with domain knowledge for biomedical extractive summarization (2022), in: Knowledge-Based Systems, 252(109460)

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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

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Schoene, A en Ananiadou, S., RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification, in: Proceedings of LREC 2022, pagina's 6317-6327, 2022

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Nghiem, M-. Q., Baylis, P., Freitas, A. en Ananiadou, S., Text Classification and Prediction in the Legal Domain, pagina's 4717-4722, 2022

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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

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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)

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Navarro, T., Parrish, R., Cotoi, C., Germini, F., Linkins, L., Iorio, A., Haynes, R. B., Ananiadou, S. en 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. en 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 en 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. en 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), pagina's 11-26, 2021

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Cao, J., van Veen, E. M., Peek, N., Renehan, A. G en 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), pagina's 461-467, 2021

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

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Inan, E., Thompson, P., Yates, T. en Ananiadou, S., HSEarch: semantic search system for workplace accident reports, in: Proceedings of the 43rd European Confererence on Information Retrieval (ECIR 2021), pagina's 514-519, 2021

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

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Xie, Q., Huang, J., Du, P., Peng, M. en Nie., J. -Y., Inductive Topic Variational Graph Auto-Encoder for Text Classification, in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

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

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Tsujii, J., Natural Language Processing and Computational Linguistics (2021), in: Computational Linguistics, 47:4(707-727)

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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. en 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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Dengel, A., Etzioni, O., DeCario, N., Hoos, H., Li, F. -F., Tsujii, J. en Traverso, P., Next Big Challenges in Core AI Technology, pagina's 90-115, Springer, 2021

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Tran, T. T., Le, P. en 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. en 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, pagina's 238–243, 2021

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Alhuzali, H., Zhang, T. en 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. en 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), pagina's 1573–1584, 2021

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