Publications

Dessì, D., Recupero Reforgiato, D., & Sack, H. (2021). An Assessment of Deep Learning Models and Word Embeddings for Toxicity Detection within Online Textual Comments. Accepted in MDPI Electronics.
Dessì, D., Osborne, F., Recupero Reforgiato, D., Buscaldi, D., & Motta E. (2020). Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain. Future Generation Computer Systems, 116, (pp. 253-264).

Dessì, D., Helaoui, R., Kumar, V., Reforgiato Recupero, D., Riboni, D. (2020). Towards Morbidity Identification Employing Deep Learning and Word Embeddings within Clinical Notes. In CEUR Workshop Proceedings (Vol. 2596, pp. 1-12). SmartPhil@ACM IUI.

Dessì, D., Dragoni, M., Fenu, G., Marras, M., Reforgiato, D. (2020). Deep Learning Adaptation with Word Embeddings for Sentiment Analysis on Online Course Reviews. In Deep Learning-Based Approaches for Sentiment Analysis (pp. 57-83)
Dessì, D., Reforgiato Recupero, D., Fenu, G., & Consoli, S. (2019). A Recommender System of Medical Reports Leveraging Cognitive Computing and Frame Semantics. In Machine Learning Paradigms (pp. 7-30).