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Alberto Testoni
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Grounded textual entailment
HT Vu, C Greco, A Erofeeva, S Jafaritazehjan, G Linders, M Tanti, ...
arXiv preprint arXiv:1806.05645, 2018
272018
A software architecture for generic human activity recognition from smartphone sensor data
A Testoni, M Di Felice
2017 IEEE International Workshop on Measurement and Networking (M&N), 1-6, 2017
82017
On the role of effective and referring questions in GuessWhat?!
M Mazuecos, A Testoni, R Bernardi, L Benotti
Proceedings of the first workshop on advances in language and vision …, 2020
42020
Quantifiers in a multimodal world: Hallucinating vision with language and sound
A Testoni, S Pezzelle, R Bernardi
Proceedings of the workshop on cognitive modeling and computational …, 2019
42019
The devil is in the details: A magnifying glass for the guesswhich visual dialogue game
A Testoni, R Shekhar, R Fernández, R Bernardi
Proceedings of the 23rd SemDial workshop on the semantics and pragmatics of …, 2019
42019
The interplay of task success and dialogue quality: An in-depth evaluation in task-oriented visual dialogues
A Testoni, R Bernardi
arXiv preprint arXiv:2103.11151, 2021
32021
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
32020
Yes” and “No”: Visually grounded polar answers
C Greco, A Testoni, R Bernardi
Proceedings of visually grounded interaction and language (ViGIL), 2021
22021
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
22020
Jointly Learning to See, Ask, Decide when to Stop, and then GuessWhat.
R Shekhar, A Testoni, R Fernández, R Bernardi
CLiC-it, 2019
22019
“I’ve Seen Things You People Wouldn’t Believe”: Hallucinating Entities in GuessWhat?!
A Testoni, R Bernardi
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
12021
Overprotective training environments fall short at testing time: Let models contribute to their own training
A Testoni, R Bernardi
arXiv preprint arXiv:2103.11145, 2021
12021
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 Bernardi
NL4AI@ AI* IA, 29-43, 2020
12020
Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy
A Testoni, R Bernardi
arXiv preprint arXiv:2109.05312, 2021
2021
Visually Grounded Follow-up Questions: a Dataset of Spatial Questions Which Require Dialogue History
T Dong, A Testoni, L Benotti, R Bernardi
Proceedings of Second International Combined Workshop on Spatial Language …, 2021
2021
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, 2021
2021
Effective questions in referential visual dialogue
M Mazuecos, A Testoni, R Bernardi, L Benotti
Proceedings of the The Fourth Widening Natural Language Processing Workshop …, 2020
2020
Grounded Textual Entailment
H Trong Vu, C Greco, A Erofeeva, S Jafaritazehjan, G Linders, M Tanti, ...
arXiv e-prints, arXiv: 1806.05645, 2018
2018
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Artikelen 1–18