Contact
Pfaffenwaldring 5 b
70569 Stuttgart
Deutschland
Room: 02.018
Office Hours
Scheduled on request via email.
Subject
My primary focus in research lies in the realm of computational social sciences, particularly delving into modeling societal discourse. This involves tasks like classifying various perspectives within texts, extracting opinions, and understanding the underlying worldviews embedded in large language models (LLMs). Moreover, I’m interested in implementing this type of research in real world use cases applications, such as news recommenders.
I'm a member of MARDY (Modeling ARgumentation DYnamics in Political Discourse).
- Dmitry Nikolaev, Tanise Ceron, and Sebastian Padó. 2023. Multilingual estimation of political-party positioning: From label aggregation to long-input Transformers. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9497–9511, Singapore. Association for Computational Linguistics.
- Tanise Ceron, Dmitry Nikolaev, and Sebastian Padó. 2023. Additive manifesto decomposition: A policy domain aware method for understanding party positioning. In Findings of the Association for Computational Linguistics: ACL 2023, pages 7874–7890, Toronto, Canada. Association for Computational Linguistics.
- Tanise Ceron, Nico Blokker, and Sebastian Padó. 2022. Optimizing text representations to capture (dis)similarity between political parties. In Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL), pages 325–338, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
- Tanise Ceron, Nhut Truong, and Aurelie Herbelot. 2022. Algorithmic Diversity and Tiny Models: Comparing Binary Networks and the Fruit Fly Algorithm on Document Representation Tasks. In Proceedings of The Third Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), pages 17–28, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
- Nico Blokker, Tanise Ceron, Andrea Blessing, Erenay Dayanik, Sebastian Haunss, Jonas Kuhn, Gabriella Lapesa and Sebastian Pado. 2022. Why justifications of claims matter for understanding party positions. In Proceedings of the 2nd workshop on computational linguistics for political text analysis.
- Tanise Ceron and Camilla Casula. (2021). Exploiting Contextualized Word Representations to Profile Haters on Twitter. In CLEF (Working Notes) (pp. 1871-1882).
Winter semester 2022/2023 - Seminar on Analysis of Societal Discourse
Summer Semester 2023/2024 - Seminar on Argument Mining and Discourse Analysis