Ana Freire


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Suicide Risk Assessment on Social Media: USI-UPF at the CLPsych 2019 Shared Task
Esteban Ríssola | Diana Ramírez-Cifuentes | Ana Freire | Fabio Crestani
Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology

This paper describes the participation of the USI-UPF team at the shared task of the 2019 Computational Linguistics and Clinical Psychology Workshop (CLPsych2019). The goal is to assess the degree of suicide risk of social media users given a labelled dataset with their posts. An appropriate suicide risk assessment, with the usage of automated methods, can assist experts on the detection of people at risk and eventually contribute to prevent suicide. We propose a set of machine learning models with features based on lexicons, word embeddings, word level n-grams, and statistics extracted from users’ posts. The results show that the most effective models for the tasks are obtained integrating lexicon-based features, a selected set of n-grams, and statistical measures.


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Making Sense of Massive Amounts of Scientific Publications: the Scientific Knowledge Miner Project
Francesco Ronzano | Ana Freire | Diego Saez-Trumper | Horacio Saggion
Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL)