Publications

Michael Hanna, Federico Pedeni, Alessandro Suglia, Alberto Testoni, Raffaella Bernardi (2022). ACT-Thor: A Controlled Benchmark for Embodied Action Understanding in Simulated Environments. Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022, Gyeongju, Republic of Korea, October 12-17, 2022.

Alessandro Suglia, Qiaozi Gao, Jesse Thomason, Govind Thattai, Gaurav S. Sukhatme (2021). Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion. EMNLP 2021 Workshop on Novel Ideas in Learning-to-Learn through Interaction.

Alessandro Suglia, Yonatan Bisk, Ioannis Konstas, Antonio Vergari, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon (2021). An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, EACL 2021, Online, April 19 - 23, 2021.

Olivia Foulds, Alessandro Suglia, Leif Azzopardi, Martin Halvey (2020). Predicting Perceptual Speed from Search Behaviour. Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020.

Alessandro Suglia, Antonio Vergari, Ioannis Konstas, Yonatan Bisk, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon (2020). Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games. Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020.

Alessandro Suglia, Ioannis Konstas, Andrea Vanzo, Emanuele Bastianelli, Desmond Elliott, Stella Frank, Oliver Lemon (2020). CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020.

Pierpaolo Basile, Claudio Greco, Alessandro Suglia, Giovanni Semeraro (2019). Bridging the gap between linked open data-based recommender systems and distributed representations. Inf. Syst..

Pierpaolo Basile, Claudio Greco, Alessandro Suglia, Giovanni Semeraro (2018). Deep Learning and Hierarchical Reinforcement Learning for modeling a Conversational Recommender System. Intelligenza Artificiale.

Claudio Greco, Alessandro Suglia, Pierpaolo Basile, Giovanni Semeraro (2017). Converse-Et-Impera: Exploiting Deep Learning and Hierarchical Reinforcement Learning for Conversational Recommender Systems. AIIA 2017 Advances in Artificial Intelligence - XVIth International Conference of the Italian Association for Artificial Intelligence, Bari, Italy, November 14-17, 2017, Proceedings*.

Alessandro Suglia, Claudio Greco, Pierpaolo Basile, Giovanni Semeraro, Annalina Caputo (2017). An Automatic Procedure for Generating Datasets for Conversational Recommender Systems. Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum, Dublin, Ireland, September 11-14, 2017.