Ananiadou, S.
Primeiro nome(s): S.
Sobrenome(s): Ananiadou

Publications of Ananiadou, S. sorted by journal and type


Publications of type Inproceedings


2022

Luo, Z., Xie, Q. and Ananiadou, S., Readability Controllable Biomedical Document Summarization, in: Findings of the Association for Computational Linguistics: EMNLP 2022, páginas 4667–4680, 2022
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Vasquez-Rodriguez, L., Nguyen, N. T. H., Shardlow, M. and 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), páginas 218-224, 2022
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2021

Christopoulou, F., Miwa, M. and 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), páginas 11-26, 2021
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Cao, J., van Veen, E. M., Peek, N., Renehan, A. G and 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), páginas 461-467, 2021
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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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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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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. 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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2020

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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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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2019

Li, M., Myrman, A. F., Mu, T. and Ananiadou, S., Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks, in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), páginas 2873-2883, 2019
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2018

Ju., M., Miwa, M. and Ananiadou, S., A Neural Layered Model for Nested Named Entity Recognition, in: Proceedings of NAACL 2018, páginas 1446-1459, 2018
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