Silvia Terragni
Title
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Cited by
Year
Pre-training is a hot topic: Contextualized document embeddings improve topic coherence
F Bianchi, S Terragni, D Hovy
arXiv preprint arXiv:2004.03974, 2020
232020
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
142021
Constrained relational topic models
S Terragni, E Fersini, E Messina
Information Sciences 512, 581-594, 2020
72020
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
42021
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
32020
Contrastive Language-Image Pre-training for the Italian Language
F Bianchi, G Attanasio, R Pisoni, S Terragni, G Sarti, S Lakshmi
arXiv preprint arXiv:2108.08688, 2021
2021
Word Embedding-Based Topic Similarity Measures
S Terragni, E Fersini, E Messina
International Conference on Applications of Natural Language to Information …, 2021
2021
Modeling Knowledge Incorporation into Topic Models and their Evaluation
S Terragni
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