Brielen Madureira

Orcid: 0000-0003-2465-1062

According to our database1, Brielen Madureira authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality.
CoRR, 2024

Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests.
CoRR, 2024

2023
"Are you telling me to put glasses on the dog?" Content-Grounded Annotation of Instruction Clarification Requests in the CoDraw Dataset.
CoRR, 2023

The Road to Quality is Paved with Good Revisions: A Detailed Evaluation Methodology for Revision Policies in Incremental Sequence Labelling.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing.
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
An Overview of Natural Language State Representation for Reinforcement Learning.
CoRR, 2020

Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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