Marco Valentino

According to our database, Marco Valentino authored at least 37 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Inference to the Best Explanation in Large Language Models.

Dhairya Dalal, Marco Valentino, André Freitas, Paul Buitelaar

CoRR, 2024

Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders.

Yingji Zhang, Danilo S. Carvalho, Marco Valentino, Ian Pratt-Hartmann, André Freitas

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions.

Marco Valentino, Danilo S. Carvalho, André Freitas

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement.

Xin Quan, Marco Valentino, Louise A. Dennis, André Freitas

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders.

Yingji Zhang, Marco Valentino, Danilo S. Carvalho, Ian Pratt-Hartmann, André Freitas

CoRR, 2023

Multi-Operational Mathematical Derivations in Latent Space.

Marco Valentino, Jordan Meadows, Lan Zhang, André Freitas

CoRR, 2023

Generating Mathematical Derivations with Large Language Models.

Jordan Meadows, Marco Valentino, André Freitas

CoRR, 2023

A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers.

Jordan Meadows, Marco Valentino, Damien Teney, André Freitas

CoRR, 2023

Estimating the Causal Effects of Natural Logic Features in Neural NLI Models.

Julia Rozanova, Marco Valentino, André Freitas

CoRR, 2023

SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data.

Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports.

Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Dónal Landers, André Freitas

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Interventional Probing in High Dimensions: An NLI Case Study.

Julia Rozanova, Marco Valentino, Lucas C. Cordeiro, André Freitas

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 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

Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers.

Mokanarangan Thayaparan, Marco Valentino, André Freitas

CoRR, 2022

Scientific Explanation and Natural Language: A Unified Epistemological-Linguistic Perspective for Explainable AI.

Marco Valentino, André Freitas

CoRR, 2022

Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language.

Maël Jullien, Marco Valentino, André Freitas

CoRR, 2022

Case-Based Abductive Natural Language Inference.

Marco Valentino, Mokanarangan Thayaparan, André Freitas

Proceedings of the 29th International Conference on Computational 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

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

Encoding Explanatory Knowledge for Zero-shot Science Question Answering.

Zili Zhou, Marco Valentino, Donal Landers, 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

Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards.

Marco Valentino, Ian Pratt-Hartmann, André Freitas

CoRR, 2021

Unification-based Reconstruction of Multi-hop Explanations for Science Questions.

Marco Valentino, Mokanarangan Thayaparan, André Freitas

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

Explainable Inference Over Grounding-Abstract Chains for Science Questions.

Mokanarangan Thayaparan, Marco Valentino, André Freitas

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 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

ExplanationLP: Abductive Reasoning for Explainable Science Question Answering.

Mokanarangan Thayaparan, Marco Valentino, André Freitas

CoRR, 2020

A Survey on Explainability in Machine Reading Comprehension.

Mokanarangan Thayaparan, Marco Valentino, André Freitas

CoRR, 2020

Explainable Natural Language Reasoning via Conceptual Unification.

Marco Valentino, Mokanarangan Thayaparan, André Freitas

CoRR, 2020

Unification-based Reconstruction of Explanations for Science Questions.

Marco Valentino, Mokanarangan Thayaparan, André Freitas

CoRR, 2020

A Framework for Evaluation of Machine Reading Comprehension Gold Standards.

Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro

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

2019

Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks.

Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

2018

A Framework for Personalized and Adaptive Socially Assistive Robotics.

Silvia Rossi, Giovanni Ercolano, Luca Raggioli, Marco Valentino, Claudia Di Napoli

Proceedings of the 19th Workshop "From Objects to Agents", 2018

Adaptive Workflows of Home-Care Services.

Claudia Di Napoli, Marco Valentino, Luca Sabatucci, Massimo Cossentino

Proceedings of the 27th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2018

2017

Graph Databases for Designing High-Performance Speech Recognition Grammars.

Maria Di Maro, Marco Valentino, Anna Riccio, Antonio Origlia

Proceedings of the IWCS 2017 - 12th International Conference on Computational Semantics - Short papers, Montpellier, France, September 19, 2017