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Tommaso Fornaciari
Tommaso Fornaciari
Email verificata su unibocconi.it
Titolo
Citata da
Citata da
Anno
Automatic deception detection in Italian court cases
T Fornaciari, M Poesio
Artificial intelligence and law 21 (3), 303-340, 2013
772013
Automatic detection of verbal deception
E Fitzpatrick, J Bachenko, T Fornaciari
Synthesis Lectures on Human Language Technologies 8 (3), 1-119, 2015
642015
Identifying fake Amazon reviews as learning from crowds
T Fornaciari, M Poesio
Proceedings of the 14th Conference of the European Chapter of the …, 2014
552014
“You Sound Just Like Your Father” Commercial Machine Translation Systems Include Stylistic Biases
D Hovy, F Bianchi, T Fornaciari
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
36*2020
Beyond black & white: Leveraging annotator disagreement via soft-label multi-task learning
T Fornaciari, A Uma, S Paun, B Plank, D Hovy, M Poesio
2021 Conference of the North American Chapter of the Association for …, 2021
332021
The effect of personality type on deceptive communication style
T Fornaciari, F Celli, M Poesio
2013 European Intelligence and Security Informatics Conference, 1-6, 2013
272013
We Need to consider disagreement in evaluation
V Basile, M Fell, T Fornaciari, D Hovy, S Paun, B Plank, M Poesio, A Uma
1st Workshop on Benchmarking: Past, Present and Future, 15-21, 2021
202021
Lexical vs. surface features in deceptive language analysis
T Fornaciari, M Poesio
Proceedings of the ICAIL 2011 Workshop: Applying Human Language Technology …, 2011
182011
A case for soft loss functions
A Uma, T Fornaciari, D Hovy, S Paun, B Plank, M Poesio
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 8 …, 2020
172020
Learning from disagreement: A survey
AN Uma, T Fornaciari, D Hovy, S Paun, B Plank, M Poesio
Journal of Artificial Intelligence Research 72, 1385-1470, 2021
132021
Decour: a corpus of deceptive statements in italian courts
T Fornaciari, M Poesio
Proceedings of the Eighth International Conference on Language Resources and …, 2012
122012
On the use of homogenous sets of subjects in deceptive language analysis
T Fornaciari, M Poesio
Proceedings of the Workshop on Computational Approaches to Deception …, 2012
122012
Fake opinion detection: how similar are crowdsourced datasets to real data?
T Fornaciari, L Cagnina, P Rosso, M Poesio
Language Resources and Evaluation 54 (4), 1019-1058, 2020
112020
Increasing in-class similarity by retrofitting embeddings with demographic information
D Hovy, T Fornaciari
2018 Conference on Empirical Methods in Natural Language Processing, 2018
11*2018
Semeval-2021 task 12: Learning with disagreements
A Uma, T Fornaciari, A Dumitrache, T Miller, J Chamberlain, B Plank, ...
Proceedings of the 15th International Workshop on Semantic Evaluation …, 2021
102021
Sincere and deceptive statements in italian criminal proceedings
T Fornaciari, M Poesio
Proceedings of the International Association of Forensic Linguists Tenth …, 2011
92011
Geolocation with attention-based multitask learning models
T Fornaciari, D Hovy
EMNLP Workshop W-NUT: The 5th Workshop on Noisy User-generated Text, 2019
72019
BERTective: Language models and contextual information for deception detection
T Fornaciari, F Bianchi, M Poesio, D Hovy
16th Conference of the European Chapter of the Association for Computational …, 2021
62021
Peer networks and entrepreneurship: A Pan-African RCT
F Vega-Redondo, P Pin, D Ubfal, C Benedetti-Fasil, C Brummitt, ...
Available at SSRN 3513690, 2019
62019
Identifying linguistic areas for geolocation
T Fornaciari, D Hovy
EMNLP Workshop W-NUT: The 5th Workshop on Noisy User-generated Text, 2019
62019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20