Ana-Sabina Uban
Bio
- Assistant Professor, Faculty of Mathematics and Computer Science, University of Bucharest. Obtained my Ph.D in Computer Science in 2020 with the thesis “Distributional aspects of natural language. Semantic and stylistic dimensions of text”.
Research interests: historical computational lingusitics, lexical semantics, semantic change, multilinguality, mental health disorder detection.
Publications
Book Chapters
Explainability of Depression Detection on Social Media: From Deep Learning Models to Psychological Interpretations and Multimodality, Ana-Sabina Uban, Berta Chulvi, Paolo Rosso, In Early Detection of Psychological Disorders from Online Digital Traces, D. Losada, F. Crestani, J. Parapar (Eds), Studies in Computational Intelligence, Springer series, 2023
Cross-lingual Laws of Semantic Change, Ana-Sabina Uban, Alina Maria Ciobanu, Liviu P. Dinu, In Computational Approaches to Semantic Change., Nina Tahmasebi, Lars Borin, Adam Jatowt, Yang Xu, Simon Hengchen (Eds), Berlin: Language Science Press., 2021
Selected Conference and Journal Papers
RoBoCoP: A Comprehensive ROmance BOrrowing COgnate Package and Benchmark for Multilingual Cognate Identification, Liviu Dinu, Ana Uban, Alina Cristea, Anca Dinu, Bogdan Iordache, Simona Georgescu, Laurentiu Zoicas, In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp. 7610-7629, 2023.
A Computational Exploration of Pejorative Language in Social Media, Liviu P. Dinu, Ioan-Bogdan Iordache, Ana Sabina Uban, Marcos Zampieri, In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) : Findings, November 2021
Automatic Discrimination between Inherited and Borrowed Latin Words in Romance Languages, Alina Maria Cristea, Liviu P. Dinu, Simona Georgescu, Mihnea-Lucian Mihai, Ana Sabina Uban In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) : Findings, November 2021
An Emotion and Cognitive Based Analysis of Mental Health Disorders from Social Media Data, Ana-Sabina Uban, Berta Chulvi, Paolo Rosso, In Future Generation Computer Systems, 2021.
Studying the Evolution of Scientific Topics and their Relationships, Ana-Sabina Uban, Cornelia Caragea, Liviu P. Dinu In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, August 2021.
The Myth of Blind Review Revisited: Experiments on ACL vs. EMNLP, Cornelia Caragea, Ana Sabina Uban, Liviu P. Dinu In Proceedings of EMNLP-IJCNLP 2019, Hong-Kong, China, 3 November 2019.
Finding a Character’s Voice: Stylome Classification on Literary Characters, Liviu P. Dinu, Ana Sabina Uban, In Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, p 78-82 Co-located with ACL 2017, Vancouver, Canada, 4 August 2017
Hard Synonymy and Applications in Automatic Detection of Synonyms and Machine Translation, Ana Sabina Uban In Proceeedings BUCC, 9th Workshop on Building and Using Comparable Corpora, p 34-37 Co-located with LREC 2016, Portoroz, Slovenia, 23 May 2016
Light: a Multilingual Distributional Analysis in Religious and Political Texts, Liviu P. Dinu, Ion Resceanu, Ana Sabina Uban In Proceeedings Comsymbol, Montpellier, France, 9-10 November 2016
Cross-lingual Synonymy Overlap, Anca Dinu, Liviu P. Dinu, Ana Sabina Uban In_ Proceeedings Recent Advances in Natural Language Processing_, p 147–152, Hissar, Bulgaria, 5-11 September 2015
Teaching
Currently teaching the following classes:
- Bio-medical NLP (English) - Computer Science Master’s level course (FMI)
- Artificial Intelligence - Bachelor’s level course for Mathematics students (FMI)
- Practical Introduction to Machine Learning (English) - Master’s level course for Digital Humanities students (FLLS)
- Teaching labs and coordinating student projects for the following master’s level courses for Computer Science students: Natural Language Processing 1, Natural Language Processing 2