Dear guest, welcome to this publication database. As an anonymous user, you will probably not have edit rights. Also, the collapse status of the topic tree will not be persistent. If you like to have these and other options enabled, you might ask Admin for a login account.
This site is powered by Aigaion - A PHP/Web based management system for shared and annotated bibliographies. For more information visit www.aigaion.de. Get Web based bibliography management system at SourceForge.net. Fast, secure and Free Open Source software downloads
Ananiadou, S.
First name(s): S.
Last name(s): Ananiadou

Publications of Ananiadou, S. sorted by journal and type


Publications of type Inproceedings


2021

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), pages 514-519, 2021
[URL]
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, pages 876-882, 2021
[URL]
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
[URL]
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, pages 238–243, 2021
[URL]
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), pages 1573–1584, 2021
[URL]
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), pages 57-69, 2021
[URL]

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), pages 5760-5773, 2020
[URL]
Tran, T. T., Le, P. and Ananiadou, S., Revisiting Unsupervised Relation Extraction, in: Proceedings of ACL 2020, pages 7498–7505, 2020
[URL]
Thompson, P., Yates, T., Inan, E. and Ananiadou, S., Semantic Annotation for Improved Safety in Construction Work, in: Proceedings of LREC 2020, pages 1983‑1992, 2020
[URL]

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), pages 2873-2883, 2019
[URL]

2018

Ju., M., Miwa, M. and Ananiadou, S., A Neural Layered Model for Nested Named Entity Recognition, in: Proceedings of NAACL 2018, pages 1446-1459, 2018
[URL]
Nghiem, M-. Q. and Ananiadou, S., APLenty: annotation tool for creating high-quality datasets using active and proactive learning, in: Proceedings of Empirical Methods in Natural Language Processing (System Demonstrations), 2018
[URL]
Wang, Y., Ananiadou, S. and Tsujii, J., Improve Chinese Clinical Named Entity Recognition Performance by Using the Graphical and Phonetic Feature, in: Proceedings of the 2018 International Workshop on Biomedical and Health Informatics, 2018
[URL]
Zerva, C. and Ananiadou, S., Paths for uncertainty: Exploring the intricacies of uncertainty identification for news, in: Proceedings of the NAACL Workshop on Computational Semantics Beyond Events and Roles (SemBEaR), pages 6-20, 2018
[URL]