Personal profile
Overview
I'm a PhD student in the Department of Computer Science at The University of Manchester, focused on researching explainability methods for Natural Language Processing (NER & Text Classification) to detect emerging patterns of modern slavery from shared narratives of migrant workers.
Additionally, I'm a technologically minded professional with +10 years of hands-on experience in Data Science / Machine Learning projects across Latin America and Europe, both in business and academia.
Working closely with C-level executives and senior stakeholders, I have developed a high business acumen in Retail, FMCG, Higher Education, Financial Services, and the Healthcare sector.
Finally, I have worked as an international lecturer for both undergraduate and graduate courses in Data Science, Machine Learning, Business Analytics, Data Mining and Quantitative Marketing.
Teaching
Adolfo Ibañez's University - Chile
Lecturer in Data Extraction module within the MSc in Data Science.
Private Bolivian University - Bolivia
Lecturer in Machine Learning module for Executive Education courses.
Research interests
Machine Learning, Data Science, Natural Language Processing, Explainable Artificial Intelligence
Prizes and awards
National Agency for Innovation and Development - 2021
Awarded an academic-merit full scholarship by the Advanced Human Capital Program to pursue doctoral studies in the United Kingdom.
Chilean National Commission for Scientific and Technological Research (CONICYT) - 2018
Awarded an academic-merit full scholarship by the Advanced Human Capital Program to pursue postgraduate studies in the United Kingdom.
Education/Academic qualification
Master in Science, MSc Data Science, The University of Sheffield
1 Sept 2018 → 1 Sept 2019
Award Date: 1 Nov 2019
Bachelor of Science, BSc Industrial Engineering, Universidad de Chile
1 Mar 2005 → 1 Nov 2011
Award Date: 1 Dec 2011
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 8 Decent Work and Economic Growth -
SDG 10 Reduced Inequalities -
SDG 16 Peace, Justice and Strong Institutions
Fingerprint
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From outputs to insights: a survey of rationalization approaches for explainable text classification
Mendez Guzman, E., Schlegel, V. & Batista-Navarro, R. T., 23 Jul 2024, In: Frontiers in Artificial Intelligence . 7, 1363531.Research output: Contribution to journal › Literature review › peer-review
Open Access -
ExASAG: Explainable Framework for Automatic Short Answer Grading
Tornqvist, M., Mahamud, M., Mendez Guzman, E. & Farazouli, A., 1 Jul 2023, Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023). Kochmar, E., Burstein, J., Horbach, A., Laarmann-Quante, R., Madnani, N., Tack, A., Yaneva, V., Yuan, Z. & Zesch, T. (eds.). Toronto, Canada: Association for Computational Linguistics, p. 361-371 11 p.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open Access -
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour
Guzman, E. M., Schlegel, V. & Batista-Navarro, R., 6 Apr 2022, (Accepted/In press).Research output: Preprint/Working paper › Preprint
File73 Downloads (Pure) -
Towards Human-Centred Explainability Benchmarks For Text Classification
Schlegel, V., Mendez-Guzman, E. & Batista-Navarro, R., 10 Nov 2022, arXiv, 6 p.Research output: Preprint/Working paper › Preprint
File33 Downloads (Pure) -
Application of Latent Semantic Analysis and Supervised Learning Methods to Automate Triage of Referral Letters for Spinal Surgery
Jalali-najafabadi, F. & Mendez Guzman, E., 19 Nov 2021, 2021 9th E-Health and Bioengineering Conference, EHB 2021. (2021 9th E-Health and Bioengineering Conference, EHB 2021).Research output: Chapter in Book/Conference proceeding › Chapter › peer-review
Thesis
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Towards Explainable Multi-Label Text Classification: A Multi-Task Learning Rationalisation Framework To Identify Forced Labour using Human Explanations
Mendez Guzman, E. (Author), Schlegel, V. (Co Supervisor) & Batista-Navarro, R. T. (Main Supervisor), 23 Sept 2025Student thesis: Phd
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