Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models. - Silvia Terragni; Debora Nozza; Elisabetta Fersini; Enza Messina (Insights, 2020)

Constrained Relational Topic Models. - Silvia Terragni; Elisabetta Fersini; Enza Messina (Inf. Sci., 2020)

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence. - Federico Bianchi 001; Silvia Terragni; Dirk Hovy (ACL/IJCNLP (2), 2021)

OCTIS 2.0: Optimizing and Comparing Topic Models in Italian Is Even Simpler! - Silvia Terragni; Elisabetta Fersini (CLiC-it, 2021)

Cross-lingual Contextualized Topic Models with Zero-shot Learning. - Federico Bianchi 001; Silvia Terragni; Dirk Hovy; Debora Nozza; Elisabetta Fersini (EACL, 2021)

OCTIS: Comparing and Optimizing Topic models is Simple! - Silvia Terragni; Elisabetta Fersini; Bruno Giovanni Galuzzi; Pietro Tropeano; Antonio Candelieri (EACL (System Demonstrations), 2021)

Word Embedding-Based Topic Similarity Measures. - Silvia Terragni; Elisabetta Fersini; Enza Messina (NLDB, 2021)

An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures. - Silvia Terragni; Elisabetta Fersini (RANLP, 2021)

Contrastive Language-Image Pre-training for the Italian Language. - Federico Bianchi 001; Giuseppe Attanasio; Raphael Pisoni; Silvia Terragni; Gabriele Sarti; Sri Lakshmi (CoRR, 2021)

One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian Optimization. - Silvia Terragni; Ismail Harrando; Pasquale Lisena; Raphaël Troncy; Elisabetta Fersini (CoRR, 2022)

FashionCLIP: Connecting Language and Images for Product Representations. - Patrick John Chia; Giuseppe Attanasio; Federico Bianchi 001; Silvia Terragni; Ana Rita Magalhães; Diogo Gonçalves 007; Ciro Greco; Jacopo Tagliabue (CoRR, 2022)

Contrastive Language-Image Pre-training for the Italian Language. - Federico Bianchi 001; Giuseppe Attanasio; Raphael Pisoni; Silvia Terragni; Gabriele Sarti; Dario Balestri (CLiC-it, 2023)

In-Context Learning User Simulators for Task-Oriented Dialog Systems. - Silvia Terragni; Modestas Filipavicius; Nghia Khau; Bruna Guedes; André Ferreira Manso; Roland Mathis (CoRR, 2023)

The role of hyper-parameters in relational topic models: Prediction capabilities vs topic quality. - Silvia Terragni; Antonio Candelieri; Elisabetta Fersini (Inf. Sci., 2023)

Evaluating Cost-Accuracy Trade-offs in Multimodal Search Relevance Judgements. - Silvia Terragni; Hoang Cuong; Joachim Daiber; Pallavi Gudipati; Pablo N. Mendes (MMSR@CIKM, 2024)

Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems. - Ivan Sekulic; Silvia Terragni; Victor Guimarães 003; Nghia Khau; Bruna Guedes; Modestas Filipavicius; André Ferreira Manso; Roland Mathis (CoRR, 2024)