Marco Valentino

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 56

Top Topics

Natural Language

Question Answer

Top Venues

Publications

Marco Valentino, Danilo S. Carvalho, André Freitas
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions. EACL (1) (2024)
Marco Valentino, Jordan Meadows, Lan Zhang, André Freitas
Multi-Operational Mathematical Derivations in Latent Space. NAACL-HLT (2024)
Jordan Meadows, Marco Valentino, Damien Teney, André Freitas
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers. NAACL-HLT (2024)
Dhairya Dalal, Marco Valentino, André Freitas, Paul Buitelaar
Inference to the Best Explanation in Large Language Models. CoRR (2024)
Xin Quan, Marco Valentino, Louise A. Dennis, André Freitas
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving. CoRR (2024)
Xin Quan, Marco Valentino, Louise A. Dennis, André Freitas
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement. CoRR (2024)
Julia Rozanova, Marco Valentino, André Freitas
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models. CoRR (2024)
Mokanarangan Thayaparan, Marco Valentino, André Freitas
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference. LREC/COLING (2024)
Dhairya Dalal, Marco Valentino, André Freitas, Paul Buitelaar
Inference to the Best Explanation in Large Language Models. ACL (1) (2024)
Julia Rozanova, Marco Valentino, André Freitas
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models. LREC/COLING (2024)
Xin Quan, Marco Valentino, Louise A. Dennis, André Freitas
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement. EACL (1) (2024)
Mokanarangan Thayaparan, Marco Valentino, André Freitas
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference. CoRR (2024)
Yingji Zhang, Danilo S. Carvalho, Marco Valentino, Ian Pratt-Hartmann, André Freitas
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders. CoRR (2024)
Yingji Zhang, Danilo S. Carvalho, Marco Valentino, Ian Pratt-Hartmann, André Freitas
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders. EACL (Findings) (2024)
Maël Jullien, Marco Valentino, André Freitas
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials. CoRR (2024)
Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data. CoRR (2023)
Marco Valentino, Danilo S. Carvalho, André Freitas
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions. CoRR (2023)
Julia Rozanova, Marco Valentino, Lucas C. Cordeiro, André Freitas
Interventional Probing in High Dimensions: An NLI Case Study. EACL (Findings) (2023)
Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data. SemEval@ACL (2023)
Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Dónal Landers, André Freitas
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports. EMNLP (2023)
Yingji Zhang, Marco Valentino, Danilo S. Carvalho, Ian Pratt-Hartmann, André Freitas
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders. CoRR (2023)
Jordan Meadows, Marco Valentino, André Freitas
Generating Mathematical Derivations with Large Language Models. CoRR (2023)
Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports. CoRR (2023)
Julia Rozanova, Marco Valentino, Lucas C. Cordeiro, André Freitas
Interventional Probing in High Dimensions: An NLI Case Study. CoRR (2023)
Jordan Meadows, Marco Valentino, Damien Teney, André Freitas
A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers. CoRR (2023)
Julia Rozanova, Marco Valentino, André Freitas
Estimating the Causal Effects of Natural Logic Features in Neural NLI Models. CoRR (2023)
Marco Valentino, Jordan Meadows, Lan Zhang, André Freitas
Multi-Operational Mathematical Derivations in Latent Space. CoRR (2023)
Marco Valentino, André Freitas
Scientific Explanation and Natural Language: A Unified Epistemological-Linguistic Perspective for Explainable AI. CoRR (2022)
Mael Jullien, Marco Valentino, André Freitas
Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language. CoRR (2022)
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas
Decomposing Natural Logic Inferences for Neural NLI. BlackboxNLP@EMNLP (2022)
Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Julia Rozanova, André Freitas
To be or not to be an Integer? Encoding Variables for Mathematical Text. ACL (Findings) (2022)
Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas
Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration. AAAI (2022)
Marco Valentino, Mokanarangan Thayaparan, André Freitas
Case-Based Abductive Natural Language Inference. COLING (2022)
Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference. Trans. Assoc. Comput. Linguistics 10 (2022)
Mokanarangan Thayaparan, Marco Valentino, André Freitas
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers. CoRR (2022)
Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas
Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference. CoRR (2021)
Mokanarangan Thayaparan, Marco Valentino, André Freitas
Explainable Inference Over Grounding-Abstract Chains for Science Questions. ACL/IJCNLP (Findings) (2021)
Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas
Does My Representation Capture X? Probe-Ably. CoRR (2021)
Julia Rozanova, Deborah Ferreira, Marco Valentino, Mokanarangan Thayaparan, André Freitas
Decomposing Natural Logic Inferences in Neural NLI. CoRR (2021)
Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas
Does My Representation Capture X? Probe-Ably. ACL (demo) (2021)
Marco Valentino, Ian Pratt-Hartmann, André Freitas
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards. CoRR (2021)
Marco Valentino, Mokanarangan Thayaparan, André Freitas
Unification-based Reconstruction of Multi-hop Explanations for Science Questions. EACL (2021)
Zili Zhou, Marco Valentino, Donal Landers, André Freitas
Encoding Explanatory Knowledge for Zero-shot Science Question Answering. CoRR (2021)
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas
Supporting Context Monotonicity Abstractions in Neural NLI Models. CoRR (2021)
Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas
∂-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization. CoRR (2021)
Mokanarangan Thayaparan, Marco Valentino, André Freitas
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering. CoRR (2020)
Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. LREC (2020)
Marco Valentino, Mokanarangan Thayaparan, André Freitas
Unification-based Reconstruction of Explanations for Science Questions. CoRR (2020)
Marco Valentino, Mokanarangan Thayaparan, André Freitas
Explainable Natural Language Reasoning via Conceptual Unification. CoRR (2020)
Mokanarangan Thayaparan, Marco Valentino, André Freitas
A Survey on Explainability in Machine Reading Comprehension. CoRR (2020)
Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. CoRR (2020)
Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. TextGraphs@EMNLP (2019)
Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. CoRR (2019)
Silvia Rossi, Giovanni Ercolano, Luca Raggioli, Marco Valentino, Claudia Di Napoli
A Framework for Personalized and Adaptive Socially Assistive Robotics. WOA (2018)
Claudia Di Napoli, Marco Valentino, Luca Sabatucci, Massimo Cossentino
Adaptive Workflows of Home-Care Services. WETICE (2018)
Maria Di Maro, Marco Valentino, Anna Riccio, Antonio Origlia
Graph Databases for Designing High-Performance Speech Recognition Grammars. IWCS(2) (2017)