Davide Bernardi

19 papers A* 2C 1Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2026 — conf
When Speed Meets Intelligence: Scalable Conversational NER in an Ever-evolving World.
EACL (Industry Track)
Karim Ghonim, Antonio Roberto, Davide Bernardi
2025 J jnl
A Survey on Knowledge Editing of Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Vittorio Mazzia, Alessandro Pedrani, Andrea Caciolai, Kay Rottmann, Davide Bernardi
2025 A* conf
PERSEVAL: A Framework for Perspectivist Classification Evaluation.
EMNLP
Soda Marem Lo, Silvia Casola, Erhan Sezerer, Valerio Basile, Franco Sansonetti, Antonio Uva, Davide Bernardi
2025 J jnl
Perspectivist approaches to natural language processing: a survey.
Lang. Resour. Evaluation
Simona Frenda, Gavin Abercrombie, Valerio Basile, Alessandro Pedrani, Raffaella Panizzon, Alessandra Teresa Cignarella, Cristina Marco, Davide Bernardi
2024 — conf
MultiPICo: Multilingual Perspectivist Irony Corpus.
ACL (1)
Silvia Casola, Simona Frenda, Soda Marem Lo, Erhan Sezerer, Antonio Uva, Valerio Basile, Cristina Bosco, Alessandro Pedrani, Chiara Rubagotti, Viviana Patti, Davide Bernardi
2023 J jnl
A Survey on Knowledge Editing of Neural Networks.
CoRR
Vittorio Mazzia, Alessandro Pedrani, Andrea Caciolai, Kay Rottmann, Davide Bernardi
2023 — conf
Does Anyone see the Irony here? Analysis of Perspective-aware Model Predictions in Irony Detection.
NLPerspectives@ECAI
Simona Frenda, Soda Marem Lo, Silvia Casola, Bianca Scarlini, Cristina Marco, Valerio Basile, Davide Bernardi
2023 — conf
EPIC: Multi-Perspective Annotation of a Corpus of Irony.
ACL (1)
Simona Frenda, Alessandro Pedrani, Valerio Basile, Soda Marem Lo, Alessandra Teresa Cignarella, Raffaella Panizzon, Cristina Marco, Bianca Scarlini, Viviana Patti, Cristina Bosco, Davide Bernardi
2023 — conf
Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses.
ACL (industry)
Donato Crisostomi, Andrea Caciolai, Alessandro Pedrani, Kay Rottmann, Alessandro Manzotti, Enrico Palumbo, Davide Bernardi
2023 — ed.
Proceedings of the 2nd Workshop on Perspectivist Approaches to NLP co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), Kraków, Poland, September 30th, 2023.
NLPerspectives@ECAI
Gavin Abercrombie, Valerio Basile, Davide Bernardi, Shiran Dudy, Simona Frenda, Lucy Havens, Elisa Leonardelli, Sara Tonelli
2023 — conf
Regression-Free Model Updates for Spoken Language Understanding.
ACL (industry)
Andrea Caciolai, Verena Weber, Tobias Falke, Alessandro Pedrani, Davide Bernardi
2023 — conf
Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: an Application to Intent Clustering.
IJCNLP (Findings)
Giorgio Barnabò, Antonio Uva, Sandro Pollastrini, Chiara Rubagotti, Davide Bernardi
2022 A* conf
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.
KDD
Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan
2022 J jnl
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.
CoRR
Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan
2021 J jnl
A network model of the barrel cortex combined with a differentiator detector reproduces features of the behavioral response to single-neuron stimulation.
PLoS Comput. Biol.
Davide Bernardi, Guy Doron, Michael Brecht, Benjamin Lindner
2018 J jnl
Fast Flux Detection via Data Mining on Passive DNS Traffic.
CoRR
Pierangelo Lombardo, Salvatore Saeli, Federica Bisio, Davide Bernardi, Danilo Massa
2018 C conf
Fast Flux Service Network Detection via Data Mining on Passive DNS Traffic.
ISC
Pierangelo Lombardo, Salvatore Saeli, Federica Bisio, Davide Bernardi, Danilo Massa
2018 J jnl
Self-Consistent Scheme for Spike-Train Power Spectra in Heterogeneous Sparse Networks.
Frontiers Comput. Neurosci.
Rodrigo Felipe De Oliveira Pena, Sebastian Vellmer, Davide Bernardi, Antonio Carlos Roque, Benjamin Lindner
2017 — conf
Real-time behavioral DGA detection through machine learning.
ICCST
Federica Bisio, Salvatore Saeli, Pierangelo Lombardo, Davide Bernardi, Alan Perotti, Danilo Massa