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
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
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
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
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
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
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
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
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
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
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
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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