Deborah Ferreira

According to our database, Deborah Ferreira authored at least 14 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Transformers and the Representation of Biomedical Background Knowledge.

Oskar Wysocki, Zili Zhou, Paul O'Regan, Deborah Ferreira, Magdalena Wysocka, Dónal Landers, André Freitas

Comput. Linguistics, March, 2023

2022

Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference.

Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas

Trans. Assoc. Comput. Linguistics, 2022

Decomposing Natural Logic Inferences for Neural NLI.

Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

To be or not to be an Integer? Encoding Variables for Mathematical Text.

Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Julia Rozanova, André Freitas

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration.

Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information?

Julia Rozanova, Deborah Ferreira, Krishna Dubba, Weiwei Cheng, Dell Zhang, André Freitas

CoRR, 2021

Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference.

Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas

CoRR, 2021

Supporting Context Monotonicity Abstractions in Neural NLI Models.

Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas

CoRR, 2021

∂-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization.

Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas

CoRR, 2021

STAR: Cross-modal [STA]tement [R]epresentation for selecting relevant mathematical premises.

Deborah Ferreira, André Freitas

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Does My Representation Capture X? Probe-Ably.

Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

On the Evaluation of Intelligence Process Automation.

Deborah Ferreira, Julia Rozanova, Krishna Dubba, Dell Zhang, André Freitas

CoRR, 2020

Natural Language Premise Selection: Finding Supporting Statements for Mathematical Text.

Deborah Ferreira, André Freitas

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Premise Selection in Natural Language Mathematical Texts.

Deborah Ferreira, André Freitas

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020