Lista de publicações - NaCTeM Publications

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

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Alhuzali, H. and 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. and 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. and Ananiadou, S., Investigating Text Simplification Evaluation, in: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, páginas 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. and 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. and Traverso, P., Next Big Challenges in Core AI Technology, páginas 90-115, Springer, 2021

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Tran, T. T., Le, P. and 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. and 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, páginas 238–243, 2021

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Alhuzali, H., Zhang, T. and 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. and 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), páginas 1573–1584, 2021

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

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

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El Boukkouri, H, Ferret, O., Lavergne, T., Noji, H., Zweigenbaum, P. and Tsujii, J., CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters, in: Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), páginas 6903–6915, 2020

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

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Arase, Y. and Tsujii, J., Compositional Phrase Alignment and Beyond, in: Proceedings of EMNLP 2020, páginas 1611–1623, 2020

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Trieu, H-L., Tran, T. T., Duong, K. N. A., Nguyen, A., Miwa, M. and 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. and Lindenfors, P., On revolutions (2020), in: Palgrave Communications, 6(4)

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

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

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

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Lambert, B. C., Kontonatsios, G., Mauch, M., Kokkoris, T., Jockers, M., Ananiadou, S. and Leroi, A. M., The pace of modern culture (2020), in: Nature Human Behaviour

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Hamulyak, E. N., Brockmeier, A. J., Killas, J. D., Ananiadou, S., Middeldorp, S. and Leroi, A. M., Women’s health in The BMJ: a data science history (2020), in: BMJ Open, 10(e039759)

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Espinosa, K., Miwa, M. and Ananiadou, S., A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection, in: Proceedings of EMNLP 2019, páginas 3670-3677, 2019

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Christopoulou, F., Tran, T. T., Sahu, S. K., Miwa, M. and Ananiadou, S., Adverse Drug Events and Medication Relation Extraction in EHRs with Ensemble Deep Learning Methods (2019), in: Journal of the American Medical Informatics Association(ocz101)

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