Tommaso Fornaciari
Tommaso Fornaciari
Dirección de correo verificada de unibocconi.it
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Año
Automatic deception detection in Italian court cases
T Fornaciari, M Poesio
Artificial intelligence and law 21 (3), 303-340, 2013
482013
Identifying fake Amazon reviews as learning from crowds
T Fornaciari, M Poesio
402014
Automatic detection of verbal deception
E Fitzpatrick, J Bachenko, T Fornaciari
Synthesis Lectures on Human Language Technologies 8 (3), 1-119, 2015
392015
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
222013
Lexical vs. surface features in deceptive language analysis
T Fornaciari, M Poesio
Proceedings of the ICAIL 2011 Workshop: Applying Human Language Technology …, 2011
152011
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
112012
Sincere and deceptive statements in italian criminal proceedings
T Fornaciari, M Poesio
Proceedings of the International Association of Forensic Linguists Tenth …, 2011
82011
DeCour: a corpus of DEceptive statements in Italian COURts.
T Fornaciari, M Poesio
LREC, 1585-1590, 2012
72012
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
52018
Deception detection in Italian court testimonies
T Fornaciari
University of Trento, 2012
52012
Peer networks and entrepreneurship: A Pan-African RCT
F Vega-Redondo, P Pin, D Ubfal, C Benedetti-Fasil, C Brummitt, ...
IZA Discussion Paper, 2019
42019
Identifying Linguistic Areas for Geolocation
T Fornaciari, D Hovy
Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019 …, 2019
42019
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
42019
Can You Translate that into Man? 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
32020
Dense Node Representation for Geolocation
T Fornaciari, D Hovy
Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019 …, 2019
22019
Improving author attribute prediction by retrofitting linguistic representations with homophily
D Hovy, T Fornaciari
EMNLP, 2018
22018
“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
12020
Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success
F Rashid, T Fornaciari, D Hovy, E Blanco, F Vega-Redondo
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
2020
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
2020
Fake opinion detection: how similar are crowdsourced datasets to real data?
T Fornaciari, L Cagnina, P Rosso, M Poesio
Language Resources and Evaluation, 1-40, 2020
2020
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Artículos 1–20