Brielen Madureira's homepage
Brielen Madureira (she/her)
✉ madureiralasota (at) uni - potsdam . de
Welcome!☺
🔎 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 building common ground in multimodal dialogue, incremental processing,
and understanding the limits of current neural network models to process dialogue phenomena. I'm more broadly interested in all aspects of evaluation of language technologies and in Ethics in NLP, and also in data analysis.
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.
📚 Publications
2023
- Patrick Kahardipraja, Brielen Madureira & David Schlangen. (2023). TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model
In: Findings of the 61st Annual Meeting of the Association for Computational Linguistics link
- Brielen Madureira & David Schlangen. (2023). Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset.
In: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. link
- Brielen Madureira, Patrick Kahardipraja & David Schlangen. (2023). The Road to Quality is Paved with Good Revisions: A Detailed Evaluation Methodology for Revision Policies in Incremental Sequence Labelling.
In: In Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue. link
- Brielen Madureira & David Schlangen. (2023). "Are you telling me to put glasses on the dog?" Content-Grounded Annotation of Instruction Clarification Requests in the CoDraw Dataset.
Extended abstract presented as a posted in the 26th Workshop on the Semantics and Pragmatics of Dialogue. link to full version
- Kranti Chalamalasetti, Jana Götze, Sherzod Hakimov, Brielen Madureira, Philipp Sadler, David Schlangen. (2023). clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents.
Coming soon. link
2022
- Brielen Madureira & 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 & 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
2021
- 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
2020
- Brielen Madureira & 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
- Brielen Madureira & David Schlangen. (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
👩🏫 Teaching
SS23
- Seminar: Dialogue Modeling, together with Jana Götze [B.Sc. and M.Sc.]
- Programmiersprache (Python) [B.Sc.]
WS22/23
SS22
- Seminar: Deep Learning for Natural Language Processing, together with Philipp Sadler [M.Sc.]
- Programmiersprache (Python), together with Anne Beyer [B.Sc.]
WS21/22
SS221
WS20/21
SS20
WS18/19
💬 Talks
- What is going on at colab Potsdam (and why research on dialogue games is cool). DFKI Saarbrücken. March 7, 2023.
- Demistifying Neural Networks. Part of the Workshop on the Basics of Artificial Neural Networks / Deep Learning, organised by the SFB 1287 - Project B01. August 23, 2022.
- Desmistificando as Redes Neurais (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 (and others)
- Service as reviewer (conferences): ARR January 2022, EACL 2023, SDS 2023, ACL 2023 (emergency), EMNLP 2023.
- Outstanding reviewer awards: EACL 2023, ACL 2023.
- Service as reviewer (journals): Dialogue & Discourse.
- Service as secondary reviewer: COLING 2022.
- Co-chair of the Student Research Workshop at ACL 2022.
- Volunteer at EACL 2021.
- Local organizer of SemDial 2021 (website and proceedings).
- Prof. Helena Caseli and I founded the group Brazilian Women in NLP in 2020. I collaborated in the organisation and board until 2023. I'm now a member.
- Jury member of the Youth Hacking 4 Freedom 2023.
📄 Thesis Reviews
- P. K. [M.Sc.] Learning Adaptive Revision for Incremental Processing with a Two-Pass Model. (University of Potsdam, June, 2022)
- L. L. [M.Sc.] Towards a Corpus of Multimodal Joint Difference Detection Dialogues. (University of Potsdam, January, 2022)
- V. O. [M.Sc.] An Incremental Dialogue Model for the SMCalFlow Dataset. (University of Potsdam, November, 2021)
- 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).
- M. L. [B.Sc.] Dialogue Games: Exploration and Navigation in a Simple Visual Environment. (University of Potsdam, December, 2020)