| Automatic deception detection in Italian court cases T Fornaciari, M Poesio Artificial intelligence and law 21 (3), 303-340, 2013 | 73 | 2013 |
| Automatic detection of verbal deception E Fitzpatrick, J Bachenko, T Fornaciari Synthesis Lectures on Human Language Technologies 8 (3), 1-119, 2015 | 63 | 2015 |
| Identifying fake Amazon reviews as learning from crowds T Fornaciari, M Poesio Proceedings of the 14th Conference of the European Chapter of the …, 2014 | 53 | 2014 |
| “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 | 34* | 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 | 31 | 2021 |
| 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 | 27 | 2013 |
| Lexical vs. surface features in deceptive language analysis T Fornaciari, M Poesio Proceedings of the ICAIL 2011 Workshop: Applying Human Language Technology …, 2011 | 18 | 2011 |
| 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 | 17 | 2021 |
| 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 | 16 | 2020 |
| Decour: a corpus of deceptive statements in italian courts T Fornaciari, M Poesio Proceedings of the Eighth International Conference on Language Resources and …, 2012 | 12 | 2012 |
| 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 | 12 | 2012 |
| 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 |
| 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 | 9 | 2021 |
| 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 | 9 | 2021 |
| 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 | 9 | 2020 |
| Sincere and deceptive statements in italian criminal proceedings T Fornaciari, M Poesio Proceedings of the International Association of Forensic Linguists Tenth …, 2011 | 9 | 2011 |
| Geolocation with attention-based multitask learning models T Fornaciari, D Hovy EMNLP Workshop W-NUT: The 5th Workshop on Noisy User-generated Text, 2019 | 7 | 2019 |
| 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 | 6 | 2019 |
| Identifying linguistic areas for geolocation T Fornaciari, D Hovy EMNLP Workshop W-NUT: The 5th Workshop on Noisy User-generated Text, 2019 | 6 | 2019 |
| Deception detection in Italian court testimonies T Fornaciari University of Trento, 2012 | 5 | 2012 |
Massimo PoesioProfessor of Computational Linguistics, Queen Mary UniversityVerified email at qmul.ac.uk
