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Tommaso Fornaciari
Tommaso Fornaciari
Zweryfikowany adres z unibocconi.it
Tytuł
Cytowane przez
Cytowane przez
Rok
Automatic deception detection in Italian court cases
T Fornaciari, M Poesio
Artificial intelligence and law 21, 303-340, 2013
792013
Automatic detection of verbal deception
E Fitzpatrick, JC Bachenko, T Fornaciari
Morgan & Claypool, 2015
672015
Identifying fake Amazon reviews as learning from crowds
T Fornaciari, M Poesio
Proceedings of the 14th Conference of the European Chapter of the …, 2014
612014
Beyond black & white: Leveraging annotator disagreement via soft-label multi-task learning
T Fornaciari, A Uma, S Paun, B Plank, D Hovy, M Poesio
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
482021
“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
43*2020
We need to consider disagreement in evaluation
V Basile, M Fell, T Fornaciari, D Hovy, S Paun, B Plank, M Poesio, A Uma
Proceedings of the 1st workshop on benchmarking: past, present and future, 15-21, 2021
312021
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
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
212021
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
202020
Lexical vs. surface features in deceptive language analysis
T Fornaciari, M Poesio
Proceedings of the ICAIL 2011 Workshop: Applying Human Language Technology …, 2011
182011
DeCour: a corpus of DEceptive statements in Italian COURts.
T Fornaciari, M Poesio
LREC, 1585-1590, 2012
152012
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
132012
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
122021
Fake opinion detection: how similar are crowdsourced datasets to real data?
T Fornaciari, L Cagnina, P Rosso, M Poesio
Language Resources and Evaluation 54, 1019-1058, 2020
122020
Increasing in-class similarity by retrofitting embeddings with demographic information
D Hovy, T Fornaciari
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
11*2018
BERTective: Language models and contextual information for deception detection
T Fornaciari, F Bianchi, M Poesio, D Hovy
Proceedings of the 16th Conference of the European Chapter of the …, 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
Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019 …, 2019
72019
Identifying linguistic areas for geolocation
T Fornaciari, D Hovy
Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019 …, 2019
62019
Peer networks and entrepreneurship: A Pan-African RCT
F Vega-Redondo, P Pin, D Ubfal, C Benedetti-Fasil, C Brummitt, ...
IZA Discussion Paper, 2019
52019
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