| Pre-training is a hot topic: Contextualized document embeddings improve topic coherence F Bianchi, S Terragni, D Hovy Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 317 | 2021 |
| Cross-lingual Contextualized Topic Models with Zero-shot Learning F Bianchi, S Terragni, D Hovy, D Nozza, E Fersini Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 176 | 2021 |
| OCTIS: Comparing and optimizing topic models is simple! S Terragni, E Fersini, BG Galuzzi, P Tropeano, A Candelieri Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 138 | 2021 |
| Contrastive Language–Image Pre-training for the Italian F Bianchi, G Attanasio, R Pisoni, S Terragni, G Sarti, D Balestri | 38* | 2023 |
| Contrastive language and vision learning of general fashion concepts PJ Chia, G Attanasio, F Bianchi, S Terragni, AR Magalhães, D Goncalves, ... Scientific Reports 12 (1), 18958, 2022 | 38* | 2022 |
| Word embedding-based topic similarity measures S Terragni, E Fersini, E Messina International Conference on Applications of Natural Language to Information …, 2021 | 29 | 2021 |
| Constrained relational topic models S Terragni, E Fersini, E Messina Information Sciences 512, 581-594, 2020 | 23 | 2020 |
| Which matters most? comparing the impact of concept and document relationships in topic models S Terragni, D Nozza, E Fersini, M Enza Proceedings of the First Workshop on Insights from Negative Results in NLP …, 2020 | 10 | 2020 |
| In-context learning user simulators for task-oriented dialog systems S Terragni, M Filipavicius, N Khau, B Guedes, A Manso, R Mathis arXiv preprint arXiv:2306.00774, 2023 | 9 | 2023 |
| An empirical analysis of topic models: Uncovering the relationships between hyperparameters, document length and performance measures S Terragni, E Fersini Proceedings of the International Conference on Recent Advances in Natural …, 2021 | 7 | 2021 |
| Reliable LLM-based user simulator for task-oriented dialogue systems I Sekulić, S Terragni, V Guimarães, N Khau, B Guedes, M Filipavicius, ... arXiv preprint arXiv:2402.13374, 2024 | 5 | 2024 |
| OCTIS 2.0: Optimizing and Comparing Topic Models in Italian Is Even Simpler! S Terragni, E Fersini, E Fersini CLiC-it, 2021 | 4 | 2021 |
| BETOLD: A Task-Oriented Dialog Dataset for Breakdown Detection S Terragni, B Guedes, A Manso, M Filipavicius, N Khau, R Mathis Proceedings of the Second Workshop on When Creative AI Meets Conversational …, 2022 | 3 | 2022 |
| The role of hyper-parameters in relational topic models: Prediction capabilities vs topic quality S Terragni, A Candelieri, E Fersini Information Sciences 632, 252-268, 2023 | 2 | 2023 |
| Modeling Relational and Contextual Information into Topic Models and their Evaluation S Terragni Università degli Studi di Milano-Bicocca, 2022 | | 2022 |
| One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian Optimization S Terragni, I Harrando, P Lisena, R Troncy, E Fersini arXiv preprint arXiv:2202.07631, 2022 | | 2022 |
| Modeling Knowledge Incorporation into Topic Models and their Evaluation S Terragni | | |
Elisabetta FersiniUniversity of Milano-BicoccaVerified email at unimib.it
