Brielen Madureira's homepage
Brielen Madureira (she/her)
✉ madureiralasota (at) uni - potsdam . de
🔎 About me
I am currently a research assistant doing a Ph.D. at the University of Potsdam, Germany, as a member of Prof. David
Schlangen's Computational Linguistics Lab (colabPotsdam).
My current research interests are common grounding and multimodal dialogue, incremental processing, and understanding the limits of current neural network models to process dialogue. I'm also very interested in Ethics in NLP. I got my M.Sc. degree in Language Science and Technology
in the University of Saarland, Germany. My master thesis was a project in the scope of the
SFB1102 Project A3
with Prof. Alexander Koller. I applied semi-supervised learning methods to extract
script knowledge from texts. Before that, I received my B.Sc. in Applied and Computational Mathematics
at the Institute of Mathematics and Statistics
of the University of São Paulo, Brazil.
- Brielen Madureira and David Schlangen. 2022. Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 651-664, Dublin, Ireland. Association for Computational Linguistics. link
Samuel Louvan, Andrea Madotto, and Brielen Madureira. 2022. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop. Association for Computational Linguistics, Dublin, Ireland, edition. link
- Patrick Kahardipraja; Brielen Madureira & David Schlangen. (2021). Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU.
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. link
- Brielen Madureira. 2021. Flamingos and Hedgehogs in the Croquet-Ground: Teaching Evaluation of NLP Systems for Undergraduate Students. In Proceedings of the Fifth Workshop on Teaching NLP, pages 87-91, Online. Association for Computational Linguistics. link
- Brielen Madureira and David Schlangen. 2020. Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 357-374, Online. Association for Computational Linguistics. link
- Madureira, Brielen & Schlangen, David. (2020). An Overview of Natural Language State Representation for Reinforcement Learning.
Presented at the ICML 2020 Workshop on Language in Reinforcement Learning (LaReL), Viena, Austria (moved online). link
- Seminar: Deep Learning for Natural Language Processing, together with Philipp Sadler [M.Sc.]
- Programmiersprache (Python), together with Anne Beyer [B.Sc.]
- Demistifying Neural Networks. Committee of Bioethics and Biolaw of the Brazilian Order of Attorneys. June 17, 2022.
- Incremental Processing in the Age of Non-Incremental Encoders. NLPhD Speaker Series at LST, University of Saarland. March 23, 2021.
- Relation Extraktion Software SotA Research Seminar Semantic Technologies . June 21, 2019.
🙌 Engagement in CL/NLP community
📄 Thesis Reviews
- E. L. [M.Sc.]. Reinforcement Learning in Text-Based Games for NLP: Ablation Study and Analysis on a Game-Playing Agent (University of Potsdam, March, 2021).
- V. O. [M.Sc.] An Incremental Dialogue Model for the SMCalFlow Dataset. (University of Potsdam, November, 2021)
- L. L. [M.Sc.] Towards a Corpus of Multimodal Joint Difference Detection Dialogues. (University of Potsdam, January, 2022)