Silvia Terragni

About Silvia Terragni

Silvia Terragni, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Università degli Studi di Milano-Bicocca, specializes in the field of topic modeling, dialog systems, natural language processing, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems

In-Context Learning User Simulators for Task-Oriented Dialog Systems

The role of hyper-parameters in relational topic models: Prediction capabilities vs topic quality

Contrastive language and vision learning of general fashion concepts (vol 13, 1286, 2023)

Contrastive Language–Image Pre-training for the Italian

Modeling Relational and Contextual Information into Topic Models and their Evaluation

One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian Optimization

BETOLD: A Task-Oriented Dialog Dataset for Breakdown Detection

Silvia Terragni Information

University

Position

___

Citations(all)

519

Citations(since 2020)

517

Cited By

32

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Silvia Terragni Skills & Research Interests

topic modeling

dialog systems

natural language processing

machine learning

Top articles of Silvia Terragni

Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems

arXiv preprint arXiv:2402.13374

2024/2/20

In-Context Learning User Simulators for Task-Oriented Dialog Systems

arXiv preprint arXiv:2306.00774

2023/6/1

Silvia Terragni
Silvia Terragni

H-Index: 3

The role of hyper-parameters in relational topic models: Prediction capabilities vs topic quality

Information Sciences

2023/6/1

Contrastive language and vision learning of general fashion concepts (vol 13, 1286, 2023)

Nature Scientific Reports

2022/11/8

Contrastive Language–Image Pre-training for the Italian

2023

Modeling Relational and Contextual Information into Topic Models and their Evaluation

2022/2/21

One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian Optimization

arXiv preprint arXiv:2202.07631

2022/2/15

BETOLD: A Task-Oriented Dialog Dataset for Breakdown Detection

2022/10

Silvia Terragni
Silvia Terragni

H-Index: 3

Pre-training is a hot topic: Contextualized document embeddings improve topic coherence

2021/8

Word embedding-based topic similarity measures

2021/6/20

Cross-lingual Contextualized Topic Models with Zero-shot Learning

2021/4/23

OCTIS: Comparing and optimizing topic models is simple!

2021/4

OCTIS 2.0: Optimizing and Comparing Topic Models in Italian Is Even Simpler!

2021

Silvia Terragni
Silvia Terragni

H-Index: 3

Elisabetta Fersini
Elisabetta Fersini

H-Index: 16

Which matters most? comparing the impact of concept and document relationships in topic models

2020/11

Constrained relational topic models

Information Sciences

2020/2/1

See List of Professors in Silvia Terragni University(Università degli Studi di Milano-Bicocca)

Co-Authors

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