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Andre Freitas
First name(s): Andre
Last name(s): Freitas
Email: andre.freitas@idiap.ch
Institute: Idiap Research Institute

Publications of Andre Freitas
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2024
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement, Xin Quan, Marco Valentino, Louise A Dennis and Andre Freitas, in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models, Julia Rozanova, Marco Valentino and Andre Freitas, in: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders, Yingji Zhang, Danilo Carvalho, Marco Valentino, Ian Pratt-Hartmann and Andre Freitas, in: Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions, Marco Valentino, Danilo Carvalho and Andre Freitas, in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024
2023
Learning Disentangled Representations for Natural Language Definitions, Danilo Carvalho, Giangiacomo Mercatali, Yingji Zhang and Andre Freitas, in: In Findings of the European chapter of Association for Computational Linguistics, 2023
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NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports, Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Reagan, Donal Landers and Andre Freitas, in: Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023
On Interventional Probing in High Dimensions: An NLI Case Study, Julia Rozanova, Marco Valentino, Lucas Cordeiro and Andre Freitas, in: Findings of the 17th European Chapter of the Association for Computational Linguistics, 2023
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data, Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Reagan, Donal Landers and Andre Freitas, in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Association for Computational Linguistics, 2023
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Transformers, Tables and Frame Semantics, Mario Ramirez, Alex Bogatu, Norman Paton and Andre Freitas, in: International Conference on Semantic Computing, 2023
2022
Case-Based Abductive Natural Language Inference, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: Proceedings of the 29th International Conference on Computational Linguistics, 2022
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Decomposing Natural Logic Inferences for Neural NLI, Julia Rozanova, Deborah Mendes, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: BlackBoxNLP: Workshop on analyzing and interpreting neural networks for NLP, 2022
Shallow Discourse Parsing for Open Information Extraction and Text Simplification, Christina Niklaus, Andre Freitas and Siegfried Handschuh, in: 3rd Workshop on Computational Approaches to Discourse (CODI) @ COLING, 2022
Symmetry-induced Disentanglement on Graphs, Giangiacomo Mercatali, Vikas Garg and Andre Freitas, in: Advances in Neural Information Processing Systems 35, 2022
TextGraphs 2022 Shared Task on Natural Language Premise Selection, Marco Valentino, Deborah Mendes, Mokanarangan Thayaparan, Andre Freitas and Dmitry Ustalov, in: Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing, 2022
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Voyager: Data Discovery for Onboarding in Data Science, Alex Bogatu, Norman Paton, Mark Douthwaite and Andre Freitas, in: 37th IEEE International Conference on Data Engineering (ICDE), 2022
Why Scholars Are Diagramming Neural Network Models, Guy Marshall, Caroline Jay and Andre Freitas, in: 13th International Conference on the Theory and Application of Diagrams, 2022
2021
Cost–effective Variational Active Entity Resolution, Alex Bogatu, Norman Paton, Mark Douthwaite, Stuart Davie and Andre Freitas, in: 37th IEEE International Conference on Data Engineering (ICDE), 2021
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Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders, Giangiacomo Mercatali and Andre Freitas, in: The 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Does My Representation Capture X? Probe-Ably, Deborah Mendes, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: 59th Annual Meeting of the Association for Computational Linguistics (Demonstration track), 2021
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Encoding Explanatory Knowledge for Zero-shot Science Question Answering, Zili Zhou, Marco Valentino, Donal Landers and Andre Freitas, in: 14th International Conference on Computational Semantics, 2021
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Explainable Inference Over Grounding-Abstract Chains for Science Questions, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: 59th Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2021
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Explainable Natural Language Reasoning via Conceptual Unification, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
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