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Chrysoula Zerva is a post-doctoral researcher at the DeepSPIN Lab at Instituto Telecomunicacoes (IST). She previously worked as a post-doctoral researcher at the University of Manchester (NaCTeM group) and held the EPSRC doctoral prize fellowship (grant ref: EP/N509565/1), for the project: “Fake Health News: Leveraging scientific literature to validate misleading information”. She obtained her PhD degree in Computer Science from the University of Manchester (PhD thesis: “Automatic Identification of Textual Uncertainty”). She holds a MSc degree in Computer Science from Ecole Polytechnique Federale de Lausanne (EPFL) and a bachelor's degree from National Technical University of Athens (NTUA). Her research interests lie in the quantification of uncertainty with a focus on NLP applications and the evaluation of credibility and trustworthiness of information. She is also interested in model explainability within the context of evidence and explanation generation as well as the disentanglement of textual aspects as latent representations. During her PhD she contributed in various projects, including EMPATHY and Big Mechanism and worked on event extraction and quantification of uncertainty for extracted events. During the EPSRC DP fellowship she worked on the automated identification of cited evidence text spans across documents and won the best system award in the CL-SciSumm 2019 shared task.
Identification

Personal identification

Full name
Chrysoula Zerva

Citation names

  • Zerva, Chrysoula

Author identifiers

Ciência ID
4012-67B2-0616
ORCID iD
0000-0002-4031-9492

Email addresses

  • chrysoula.zerva@tecnico.ulisboa.pt (Professional)

Knowledge fields

  • Exact Sciences - Computer and Information Sciences - Information Science

Languages

Language Speaking Reading Writing Listening Peer-review
Greek (Mother tongue)
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
French Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1)
Education
Degree Classification
2014/10 - 2019/02
Concluded
CDT in Computer Science (Doctor)
Major in Text Mining
The University of Manchester School of Computer Science, United Kingdom
"Automatic Identification of Textual Uncertainty" (THESIS/DISSERTATION)
2012/09 - 2014/07/10
Concluded
Computer Science (Master)
Major in Informatics
École Polytechnique Fédérale de Lausanne, Switzerland
"Recycling Named Entity Taggers: Unsupervised Domain and Language Adaptation for NER based on Parallel Corpora" (THESIS/DISSERTATION)
5.41/6.00
2006/10 - 2012/07/16
Concluded
School of Electrical and Computer Engineering (Bachelor)
Major in Information Tecnology
Ethniko Metsobio Polytechneio, Greece
"Noun Entity Extraction & Text Enrichment using the Semantic Web" (THESIS/DISSERTATION)
Affiliation

Science

Category
Host institution
Employer
2021/02/16 - Current Postdoc (Research) Instituto de Telecomunicações, Portugal
Universidade de Lisboa Instituto Superior Técnico, Portugal
2019/11/15 - 2020/12/31 Postdoc (Research) The University of Manchester School of Computer Science, United Kingdom
The University of Manchester School of Computer Science, United Kingdom
2017/09 - 2019/12 Visiting Researcher (Research) National Institute of Advanced Industrial Science and Technology, AIRC, Japan
National Institute of Advanced Industrial Science and Technology, AIRC, Japan
2018/11/06 - 2019/11/01 Visiting Researcher (Research) Engineering and Physical Sciences Research Council, United Kingdom
The University of Manchester School of Computer Science, United Kingdom

Teaching in Higher Education

Category
Host institution
Employer
2023/08/01 - Current Assistant Professor (University Teacher) Instituto Superior Técnico Departamento de Engenharia Informática, Portugal
Projects

Grant

Designation Funders
2021/10/01 - 2025/12/31 Center for Responsible AI
Co-Principal Investigator (Co-PI)
Instituto de Telecomunicações, Portugal
Next Generation EU - Plano de Recuperação e Resiliência (PRR)
Ongoing
2022/10/01 - 2025/09/30 Unified Transcription and Translation for Extended Reality (UTTER)
Research Fellow
Instituto de Telecomunicações, Portugal
Horizon 2020
Ongoing
2018/11 - 2019/11 Fake Health News: Leveraging scientific literature to rank credibility of health articles
EP/N509565/1
Principal investigator
The University of Manchester School of Computer Science, United Kingdom
Engineering and Physical Sciences Research Council
Concluded
2014/09 - 2018/09 Towards unsupervised adaptation of information extraction from texts: Focusing on event extraction
1515927 - EP/1038099/1 (CDT)
PhD Student Fellow
The University of Manchester School of Computer Science, United Kingdom
Engineering and Physical Sciences Research Council
Concluded
Outputs

Publications

Conference paper
  1. Glushkova, T.; Zerva, C.; Martins, A.F.T.. "BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation". 2023.
  2. Blain, F.; Zerva, C.; Rei, R.; Guerreiro, N.M.; Kanojia, D.; de Souza, J.G.C.; Silva, B.; et al. "Findings of the WMT 2023 Shared Task on Quality Estimation". 2023.
  3. Honda, S.; Fernandes, P.; Zerva, C.. "Context-aware Neural Machine Translation for English-Japanese Business Scene Dialogues". 2023.
  4. Filandrianos, G.; Dervakos, E.; Menis-Mastromichalakis, O.; Zerva, C.; Stamou, G.. "Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors". 2023.
  5. Fomicheva, M.; Sun, S.; Fonseca, E.; Zerva, C.; Blain, F.; Chaudhary, V.; Guzmán, F.; et al. "MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset". 2022.
  6. Martins, A.F.T.; Peters, B.; Zerva, C.; Lyu, C.; Correia, G.; Treviso, M.; Martins, P.; Mihaylova, T.. "DeepSPIN: Deep Structured Prediction for Natural Language Processing". 2022.
  7. Zerva, C.; Glushkova, T.; Rei, R.; Martins, A.F.T.. "Disentangling Uncertainty in Machine Translation Evaluation". 2022.
  8. Vasilakes, J.; Zerva, C.; Miwa, M.; Ananiadou, S.. "Learning Disentangled Representations of Negation and Uncertainty". 2022.
  9. Rei, R.; Treviso, M.; Guerreiro, N.M.; Zerva, C.; Farinha, A.C.; Maroti, C.; de Souza, J.G.C.; et al. "COMETKIWI: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task". 2022.
  10. Glushkova, Taisiya; Zerva, Chrysoula; Rei, Ricardo; Martins, André F. T.. "Uncertainty-Aware Machine Translation Evaluation". Punta Cana, 2021.
    Accepted • 10.18653/v1/2021.findings-emnlp.330
  11. Dervakos, E.; Filandrianos, G.; Thomas, K.; Mandalios, A.; Zerva, C.; Stamou, G.. "Semantic enrichment of pretrained embedding output for unsupervised IR". Paper presented in AAAI-MAKE, 2021.
    Accepted
  12. Specia, L.; Blain, F.; Fomicheva, M.; Zerva, C.; Li, Z.; Chaudhary, V.; Martins, A.F.T.. "Findings of the WMT 2021 Shared Task on Quality Estimation". 2021.
  13. Glushkova, T.; Zerva, C.; Rei, R.; Martins, A.F.T.. "Uncertainty-Aware Machine Translation Evaluation". 2021.
  14. Zerva, C.; Nghiem, M.-Q.; Nguyen, N.T.H.; Ananiadou, S.. "NaCTeM-UoM @ CL-SciSumm 2019". 2019.
  15. Zerva, Chrysoula; Ananiadou, Sophia. "Paths for uncertainty: Exploring the intricacies of uncertainty identification for news". 2018.
    Accepted • 10.18653/v1/w18-1302
  16. Batista-Navarro, R.; Zerva, C.; Ananiadou, S.. "Construction of a biodiversity knowledge repository using a text mining-based framework". 2016.
  17. Zerva, Chrysoula; Ananiadou, Sophia. "Event Extraction in pieces:Tackling the partial event identification problem on unseen corpora". 2015.
    10.18653/v1/w15-3804
  18. Zerva, C.; Ananiadou, S.. "Event Extraction in pieces: Tackling the partial event identification problem on unseen corpora". 2015.
Journal article
  1. Zerva, C.; Taylor, S.; Soto, A.J.; Nguyen, N.T.H.; Ananiadou, S.. "A term-based and citation network-based search system for COVID-19". JAMIA Open 4 4 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85142184560&partnerID=MN8TOARS.
    10.1093/jamiaopen/ooab104
  2. Chrysoula Zerva; Minh-Quoc Nghiem; Nhung T. H. Nguyen; Sophia Ananiadou. "Cited text span identification for scientific summarisation using pre-trained encoders". Scientometrics 125 3 (2020): 3109-3137. https://doi.org/10.1007/s11192-020-03455-z.
    10.1007/s11192-020-03455-z
  3. Chrysoula Zerva; Riza Batista-Navarro; Philip Day; Sophia Ananiadou; Jonathan Wren. "Using uncertainty to link and rank evidence from biomedical literature for model curation". Bioinformatics 33 23 (2017): 3784-3792. https://doi.org/10.1093%2Fbioinformatics%2Fbtx466.
    10.1093/bioinformatics/btx466
  4. Axel J Soto; Chrysoula Zerva; Riza Batista-Navarro; Sophia Ananiadou; Jonathan Wren. "LitPathExplorer: a confidence-based visual text analytics tool for exploring literature-enriched pathway models". Bioinformatics 34 8 (2017): 1389-1397. https://doi.org/10.1093%2Fbioinformatics%2Fbtx774.
    10.1093/bioinformatics/btx774

Other

Other output
  1. Non-Exchangeable Conformal Language Generation with Nearest Neighbors. 2024. Ulmer, D.; Zerva, C.; Martins, A.F.T.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85185376991&partnerID=MN8TOARS.
    10.48550/arXiv.2402.00707
  2. Uncertainty in Natural Language Generation: From Theory to Applications. 2023. Baan, J.; Daheim, N.; Ilia, E.; Ulmer, D.; Li, H.-S.; Fernández, R.; Plank, B.; et al. http://www.scopus.com/inward/record.url?eid=2-s2.0-85167958766&partnerID=MN8TOARS.
  3. NON-EXCHANGEABLE CONFORMAL RISK CONTROL. 2023. Farinhas, A.; Zerva, C.; Ulmer, D.; Martins, A.F.T.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85174876471&partnerID=MN8TOARS.
    10.48550/arXiv.2310.01262
  4. Conformalizing Machine Translation Evaluation. 2023. Zerva, C.; Martins, A.F.T.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85165916366&partnerID=MN8TOARS.
  5. Uncertainty-aware machine translation evaluation. 2021. Glushkova, T.; Zerva, C.; Rei, R.; Martins, A.F.T.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85115872863&partnerID=MN8TOARS.
  6. MLQE-PE: A multilingual quality estimation and post-editing dataset. 2020. Fomicheva, M.; Sun, S.; Fonseca, E.; Zerva, C.; Blain, F.; Chaudhary, V.; Guzmán, F.; et al. http://www.scopus.com/inward/record.url?eid=2-s2.0-85117378318&partnerID=MN8TOARS.
  7. MLQE-PE: A multilingual quality estimation and post-editing dataset. 2020. Fomicheva, M.; Sun, S.; Fonseca, E.; Zerva, C.; Blain, F.; Chaudhary, V.; Guzmán, F.; et al. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170925479&partnerID=MN8TOARS.
    10.48550/arxiv.2010.04480
  8. A Text Mining-Based Framework for Constructing an RDF-Compliant Biodiversity Knowledge Repository. 2017. Riza Batista-Navarro; Chrysoula Zerva; Nhung T. H. Nguyen; Sophia Ananiadou. https://doi.org/10.1007%2F978-3-319-55209-5_3.
    10.1007/978-3-319-55209-5_3
Activities

Supervision

Thesis Title
Role
Degree Subject (Type)
Institution / Organization
2024/01/01 - Current Evaluation Metrics for Vision-Language Models
Co-supervisor
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
2020/08/01 - 2024/04/30 Uncertainty Estimation and Robustness in Machine Translation Evaluation
Co-supervisor of Taisiya Glushkova
Computer Science - NLP (PhD) (PhD)
Instituto Superior Técnico Departamento de Engenharia Informática, Portugal

Event organisation

Event name
Type of event (Role)
Institution / Organization
2021 - 2021 Quality Estimation Shared Task @WMT 2021 conference: co-organiser (2021 - 2021)
Conference (Co-organisor)

Conference scientific committee

Conference name Conference host
2021 - 2021 EMNLP: Empirical Methods in Natural Language Processing

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2021/09 - 2021/11 Machine Learning course Machine Learning - Aprendizagem Automática (Mestrado) Universidade de Lisboa Instituto Superior Técnico, Portugal