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Marco Valentino
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Cited by
Cited by
Year
A survey on explainability in machine reading comprehension
M Thayaparan, M Valentino, A Freitas
arXiv preprint arXiv:2010.00389, 2020
492020
SemEval-2024 task 2: Safe biomedical natural language inference for clinical trials
M Jullien, M Valentino, A Freitas
SemEval 2024 (NAACL 2024), 2024
482024
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data
M Jullien, M Valentino, H Frost, P O'Regan, D Landers, A Freitas
SemEval 2023 - Best Task Paper Honorable Mention (ACL 2023), 2023
422023
Unification-based Reconstruction of Multi-Hop Explanations for Science Questions
M Valentino, M Thayaparan, A Freitas
EACL 2021, 2021
35*2021
A framework for evaluation of machine reading comprehension gold standards
V Schlegel, M Valentino, A Freitas, G Nenadic, R Batista-Navarro
LREC 2020, 2020
342020
Explainable inference over grounding-abstract chains for science questions
M Thayaparan, M Valentino, A Freitas
ACL 2021 (Findings), 2021
30*2021
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports
M Jullien, M Valentino, H Frost, P O'Regan, D Landers, A Freitas
EMNLP 2023, 2023
242023
Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration
M Valentino, M Thayaparan, DM Ferreira, A Freitas
AAAI 2022 (Oral), 2022
242022
Case-Based Abductive Natural Language Inference
M Valentino, M Thayaparan, A Freitas
COLING 2022, 2022
23*2022
Identifying supporting facts for multi-hop question answering with document graph networks
M Thayaparan, M Valentino, V Schlegel, A Freitas
TextGraphs-13 (EMNLP 2019), 2019
232019
To be or not to be an Integer? Encoding Variables for Mathematical Text
D Ferreira, M Thayaparan, M Valentino, J Rozanova, A Freitas
ACL 2022 (Findings), 2022
172022
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-Hop Inference
M Thayaparan, M Valentino, D Ferreira, J Rozanova, A Freitas
TACL 2022 (Presented at EMNLP 2022), 2022
13*2022
Do transformers encode a foundational ontology? Probing abstract classes in natural language
M Jullien, M Valentino, A Freitas
arXiv preprint arXiv:2201.10262, 2022
132022
Does My Representation Capture X? Probe-Ably
D Ferreira, J Rozanova, M Thayaparan, M Valentino, A Freitas
ACL 2021 (Demo Track), 2021
132021
Adaptive workflows of home-care services
C Di Napoli, M Valentino, L Sabatucci, M Cossentino
WETICE 2018, 2018
132018
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers
J Meadows, M Valentino, D Teney, A Freitas
NAACL 2024, 2024
12*2024
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards
M Valentino, I Pratt-Hartmann, A Freitas
IWCS 2021, 2021
122021
Textgraphs 2022 shared task on natural language premise selection
M Valentino, D Ferreira, M Thayaparan, A Freitas, D Ustalov
TextGraphs-16 (COLING 2022), 2022
112022
Textgraphs 2021 shared task on multi-hop inference for explanation regeneration
M Thayaparan, M Valentino, P Jansen, D Ustalov
TextGraphs-15 (NAACL 2021), 2021
112021
Generating mathematical derivations with large language models
J Meadows, M Valentino, A Freitas
arXiv preprint arXiv:2307.09998, 2023
102023
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