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Marco Valentino
Observed names:
Valentino M.,
Valentino, Marco
Institutions:
University of Sheffield,
University of Edinburgh
Observed institutions:
University of Manchester,
Institute for High Performance Computing and Networking,
Cancer Research UK Manchester Institute,
École Polytechnique Fédérale de Lausanne,
Idiap Research Institute,
University of Sheffield,
University of Edinburgh
show all 7
ORCID:
0000-0002-9959-8385
Observed ORCID:
0000-0002-9959-8385
OpenAlex ID:
A5032107191
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data
2023
·
Maël Jullien
, Marco Valentino
, et al.
·
31
PDF
A Survey on Explainability in Machine Reading Comprehension
2020
·
Thayaparan, Mokanarangan
, Valentino, Marco
, et al.
·
arXiv (Cornell University)
·
30
PDF
A Framework for Evaluation of Machine Reading Comprehension Gold Standards
2020
·
Schlegel, Viktor
, Valentino, Marco
, et al.
·
arXiv (Cornell University)
·
23
PDF
Unification-based Reconstruction of Multi-hop Explanations for Science Questions
2021
·
Marco Valentino
, Mokanarangan Thayaparan
, et al.
·
21
PDF
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks
2019
·
Mokanarangan Thayaparan
, Marco Valentino
, et al.
·
18
PDF
TextGraphs 2021 Shared Task on Multi-Hop Inference for Explanation Regeneration
2021
·
Peter Jansen
, Mokanarangan Thayaparan
, et al.
·
14
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving
2024
·
Xin Quan
, Marco Valentino
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
13
PDF
Adaptive Workflows of Home-Care Services
2018
·
Claudia Di Napoli
, Marco Valentino
, et al.
·
IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)
·
12
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports
2023
·
Mael Jullien
, Marco Valentino
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
9
PDF
Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration
2022
·
Marco Valentino
, Mokanarangan Thayaparan
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
9
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
2025
·
Pratt-Hartmann, Ian; id_orcid 0000-0003-0062-043X
, Madusanka, Tharindu
, et al.
·
8
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials
2024
·
Mael Jullien
, Marco Valentino
, et al.
·
International Workshop on Semantic Evaluation (SemEval)
·
8
PDF
Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language
2022
·
Jullien, Mael
, Valentino, Marco
, et al.
·
arXiv (Cornell University)
·
8
PDF
To be or not to be an Integer? Encoding Variables for Mathematical Text
2022
·
Deborah Ferreira
, Mokanarangan Thayaparan
, et al.
·
Findings of the Association for Computational Linguistics: ACL 2022
·
7
PDF
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering
2020
·
Thayaparan, Mokanarangan
, Valentino, Marco
, et al.
·
arXiv (Cornell University)
·
7
PDF
Case-Based Abductive Natural Language Inference
2020
·
Valentino, Marco
, Thayaparan, Mokanarangan
, et al.
·
arXiv (Cornell University)
·
6
PDF
Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions
2025
·
Leonardo Ranaldi
, Marco Valentino
, et al.
·
Annual Meeting of the Association for Computational Linguistics (ACL)
·
5
PDF
Decomposing Natural Logic Inferences for Neural NLI
2022
·
Julia Rozanova
, Deborah Ferreira
, et al.
·
BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP)
·
5
PDF
TextGraphs 2021 Shared Task on Multi-Hop Inference for Explanation Regeneration
2021
·
Peter Jansen
, Mokanarangan Thayaparan
, et al.
·
5
PDF
Explainable Inference Over Grounding-Abstract Chains for Science Questions
2021
·
Mokanarangan Thayaparan
, Marco Valentino
, et al.
·
5
PDF
Explainable Natural Language Reasoning via Conceptual Unification.
2020
·
Marco Valentino
, Mokanarangan Thayaparan
, et al.
·
arXiv (Cornell University)
·
5
Graph Databases for Designing High-Performance Speech Recognition Grammars
2017
·
Maria Di Maro
, Marco Valentino
, et al.
·
5
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders
2024
·
Yingji Zhang
, Marco Valentino
, et al.
·
Findings of the Association for Computational Linguistics: NAACL
·
4
Supporting Context Monotonicity Abstractions in Neural NLI Models
2021
·
Rozanova, Julia
, Ferreira, Deborah
, et al.
·
arXiv (Cornell University)
·
4
PDF
Does My Representation Capture X? Probe-Ably
2021
·
Deborah Ferreira
, Julia Rozanova
, et al.
·
4
PDF
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Works count:
129
Citation count:
312
H-index:
9
I10-index:
8
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