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Team
Marco Valentino
Number of Papers:- 30
Number of Citations:- 0
First ACL Paper:- 2017
Latest ACL Paper:- 2024
Venues:-
NAACL
L
COLING
NALOMA
s
EMNLP
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TextGraphs
Findings
SemEval
E
C
LREC
g
TACL
A
d
IWCS
WS
ACL
EACL
i
MathNLP
IJCNLP
N
F
n
Co-Authors:-
Abhik Jana
Alexander Pachenko
Alexander Panchenko
Andre Freitas
Andrey Sakhovskiy
Similar Authors:-
Synny Diwakar
Jochen Schopp
Mariana Kaiseler
Eddi Gbery
Daisuke Takegoshi
2024
2023
2022
2021
2020
2019
2017
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials
SemEval
Mael Jullien |
Marco Valentino |
André Freitas |
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders
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E
A
C
L
Yingji Zhang |
Danilo Carvalho |
Marco Valentino |
Ian Pratt-Hartmann |
Andre Freitas |
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement
EACL
Xin Quan |
Marco Valentino |
Louise Dennis |
Andre Freitas |
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
EACL
Marco Valentino |
Danilo Carvalho |
Andre Freitas |
Proceedings of the 2nd Workshop on Mathematical Natural Language Processing @ LREC-COLING 2024
MathNLP
WS
Marco Valentino |
Deborah Ferreira |
Mokanarangan Thayaparan |
Andre Freitas |
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders
F
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A
A
C
L
Yingji Zhang |
Marco Valentino |
Danilo Carvalho |
Ian Pratt-Hartmann |
Andre Freitas |
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers
NAACL
Jordan Meadows |
Marco Valentino |
Damien Teney |
Andre Freitas |
Multi-Operational Mathematical Derivations in Latent Space
NAACL
Marco Valentino |
Jordan Meadows |
Lan Zhang |
Andre Freitas |
Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing
TextGraphs
WS
Dmitry Ustalov |
Yanjun Gao |
Alexander Pachenko |
Elena Tutubalina |
Irina Nikishina |
Arti Ramesh |
Andrey Sakhovskiy |
Ricardo Usbeck |
Gerald Penn |
Marco Valentino |
Inference to the Best Explanation in Large Language Models
ACL
Dhairya Dalal |
Marco Valentino |
Andre Freitas |
Paul Buitelaar |
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving
EMNLP
Xin Quan |
Marco Valentino |
Louise A. Dennis |
Andre Freitas |
Introductory Tutorial: Reasoning with Natural Language Explanations
EMNLP
Marco Valentino |
André Freitas |
Interventional Probing in High Dimensions: An NLI Case Study
F
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d
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g
s
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E
A
C
L
Julia Rozanova |
Marco Valentino |
Lucas Cordeiro |
André Freitas |
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data
SemEval
Maël Jullien |
Marco Valentino |
Hannah Frost |
Paul O’regan |
Donal Landers |
André Freitas |
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports
EMNLP
Mael Jullien |
Marco Valentino |
Hannah Frost |
Paul O’Regan |
Dónal Landers |
Andre Freitas |
To be or not to be an Integer? Encoding Variables for Mathematical Text
ACL
Findings
Deborah Ferreira |
Mokanarangan Thayaparan |
Marco Valentino |
Julia Rozanova |
Andre Freitas |
Case-Based Abductive Natural Language Inference
COLING
Marco Valentino |
Mokanarangan Thayaparan |
André Freitas |
TextGraphs 2022 Shared Task on Natural Language Premise Selection
COLING
TextGraphs
WS
Marco Valentino |
Deborah Ferreira |
Mokanarangan Thayaparan |
André Freitas |
Dmitry Ustalov |
Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing
COLING
TextGraphs
WS
Dmitry Ustalov |
Yanjun Gao |
Alexander Panchenko |
Marco Valentino |
Mokanarangan Thayaparan |
Thien Huu Nguyen |
Gerald Penn |
Arti Ramesh |
Abhik Jana |
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference
TACL
Mokanarangan Thayaparan |
Marco Valentino |
Deborah Ferreira |
Julia Rozanova |
André Freitas |
Unification-based Reconstruction of Multi-hop Explanations for Science Questions
EACL
Marco Valentino |
Mokanarangan Thayaparan |
André Freitas |
TextGraphs 2021 Shared Task on Multi-Hop Inference for Explanation Regeneration
NAACL
TextGraphs
Peter Jansen |
Mokanarangan Thayaparan |
Marco Valentino |
Dmitry Ustalov |
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards
IWCS
Marco Valentino |
Ian Pratt-Hartmann |
André Freitas |
Supporting Context Monotonicity Abstractions in Neural NLI Models
IWCS
NALOMA
Julia Rozanova |
Deborah Ferreira |
Mokanarangan Thayaparan |
Marco Valentino |
André Freitas |
Does My Representation Capture X? Probe-Ably
ACL
IJCNLP
Deborah Ferreira |
Julia Rozanova |
Mokanarangan Thayaparan |
Marco Valentino |
André Freitas |
Explainable Inference Over Grounding-Abstract Chains for Science Questions
Findings
Mokanarangan Thayaparan |
Marco Valentino |
André Freitas |
Encoding Explanatory Knowledge for Zero-shot Science Question Answering
IWCS
Zili Zhou |
Marco Valentino |
Donal Landers |
André Freitas |
A Framework for Evaluation of Machine Reading Comprehension Gold Standards
LREC
Viktor Schlegel |
Marco Valentino |
Andre Freitas |
Goran Nenadic |
Riza Batista-Navarro |
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks
EMNLP
WS
Mokanarangan Thayaparan |
Marco Valentino |
Viktor Schlegel |
André Freitas |
Graph Databases for Designing High-Performance Speech Recognition Grammars
IWCS
WS
Maria Di Maro |
Marco Valentino |
Anna Riccio |
Antonio Origlia |
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