Terragni Silvia

Research Topic:

Natural Language Processing, Topic Modeling, Machine Learning, and Data Analytics.

 

Publications:

  • Federico Bianchi, Silvia Terragni, Dirk Hovy, Debora Nozza, Elisabetta Fersini, “Cross-lingual contextualized topic models with zero-shot learning”, The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021.
  • Silvia Terragni, Elisabetta Fersini, Enza Messina, “Constrained Relational Topic Models”, Information Sciences, 2020.
  • Silvia Terragni, Debora Nozza, Elisabetta Fersini, Enza Messina, “Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models”, Proceedings of the First Workshop on Insights from Negative Results in NLP @ EMNLP 2020.

Teaching:

  • Tutor for the course “Social Media Analytics” for the Master’s degree in Data Science.
    2020/2021
  • Tutor for the course “Machine Learning” for the Master’s degree in Computer Science.
    2020/2021
  • Tutor for the course “Social Media Analytics” for the Master’s degree in Data Science.
    2019/2020
  • Tutor for the course “Modelli probabilistici per le decisioni” (Probabilistic Models for Decision Making) for the Master’s degree in Computer Science.
    2019/2020
  • Tutor for the course “Social Media Analytics” for the Master’s degree in Data Science.
    2018/2019
  • Tutor for the course “Fondamenti per l’Informatica” (Fundamentals of Computer Science”) for the Bachelor’s degree in Computer Science.
    2018/2019
  • Tutor for the course “Fondamenti per l’Informatica” (Fundamentals of Computer Science”) for the Bachelor’s degree in Computer Science.
    2017/2018

 

Laboratory:

MIND (Models in decision making and data analysis)

http://www.mind.disco.unimib.it

 

Contacts:

 s dot terragni4 at campus dot unimib dot it
+39 02 6448 7919

Room 1042 – Mind
Edificio U14
Viale Sarca 336
Milano