Claudio Greco
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A deep architecture for content-based recommendations exploiting recurrent neural networks
A Suglia, C Greco, C Musto, M De Gemmis, P Lops, G Semeraro
Proceedings of the 25th conference on user modeling, adaptation and …, 2017
Psycholinguistics meets continual learning: Measuring catastrophic forgetting in visual question answering
C Greco, B Plank, R Fernández, R Bernardi
arXiv preprint arXiv:1906.04229, 2019
Converse-et-impera: Exploiting deep learning and hierarchical reinforcement learning for conversational recommender systems
C Greco, A Suglia, P Basile, G Semeraro
AI* IA 2017 Advances in Artificial Intelligence: XVIth International …, 2017
Grounded textual entailment
HT Vu, C Greco, A Erofeeva, S Jafaritazehjan, G Linders, M Tanti, ...
COLING 2018, 2018
Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks.
C Musto, C Greco, A Suglia, G Semeraro
IIR, 2016
Be different to be better! A benchmark to leverage the complementarity of language and vision
S Pezzelle, C Greco, G Gandolfi, E Gualdoni, R Bernardi
Findings of the association for computational linguistics: EMNLP 2020, 2751-2767, 2020
An Automatic Procedure for Generating Datasets for Conversational Recommender Systems.
A Suglia, C Greco, P Basile, G Semeraro, A Caputo
CLEF (Working Notes), 2017
They are not all alike: Answering different spatial questions requires different grounding strategies
A Testoni, C Greco, T Bianchi, M Mazuecos, A Marcante, L Benotti, ...
Proceedings of the Third International Workshop on Spatial Language …, 2020
Discovering and tracking organizational structures in event logs
A Appice, M Di Pietro, C Greco, D Malerba
New Frontiers in Mining Complex Patterns: 4th International Workshop, NFMCP …, 2016
Deep learning and hierarchical reinforcement learning for modeling a conversational recommender system
P Basile, C Greco, A Suglia, G Semeraro
Intelligenza Artificiale 12 (2), 125-141, 2018
Artificial intelligence models do not ground negation, humans do. guesswhat?! dialogues as a case study
A Testoni, C Greco, R Bernardi
Frontiers in big Data 4, 736709, 2022
Bridging the gap between linked open data-based recommender systems and distributed representations
P Basile, C Greco, A Suglia, G Semeraro
Information Systems 86, 1-8, 2019
Grounding dialogue history: Strengths and weaknesses of pre-trained transformers
C Greco, A Testoni, R Bernardi
International Conference of the Italian Association for Artificial …, 2020
Iterative multi-document neural attention for multiple answer prediction
C Greco, A Suglia, P Basile, G Rossiello, G Semeraro
arXiv preprint arXiv:1702.02367, 2017
Measuring catastrophic forgetting in visual question answering
C Greco, B Plank, R Fernández, R Bernardi
Increasing Naturalness and Flexibility in Spoken Dialogue Interaction: 10th …, 2021
She adapts to her student: An expert pragmatic speaker tailoring her referring expressions to the Layman listener
C Greco, D Bagade, DT Le, R Bernardi
Frontiers in Artificial Intelligence 6, 1017204, 2023
A small but informed and diverse model: The case of the multimodal guesswhat!? guessing game
C Greco, A Testoni, R Bernardi, S Frank
Proceedings of the 2022 CLASP Conference on (Dis) embodiment, 1-10, 2022
Yes” and “No”: Visually grounded polar answers
C Greco, A Testoni, R Bernardi
Proceedings of visually grounded interaction and language (ViGIL), 2021
Which Turn do Neural Models Exploit the Most to Solve GuessWhat? Diving into the Dialogue History Encoding in Transformers and LSTMs
C Greco, A Testoni, R Bernardi12
Demonstrating EMMA: Embodied MultiModal Agent for Language-guided Action Execution in 3D Simulated Environments
A Suglia, B Hemanthage, M Nikandrou, G Pantazopoulos, A Parekh, ...
Proceedings of the 23rd Annual Meeting of the Special Interest Group on …, 2022
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