A Model-driven approach to NLP programming with UIMA. - Alessandro Di Bari; Alessandro Faraotti; Carmela Gambardella; Guido Vetere (UIMA@GSCL, 2013)

Towards Model Driven Architectures for Human Language Technologies. - Alessandro Di Bari; Guido Vetere; Kateryna Tymoshenko (OIAF4HLT@COLING, 2014)

Mitigating Vocabulary Mismatch on Multi-domain Corpus using Word Embeddings and Thesaurus. - Nagesh Yadav; Alessandro Di Bari; Miao Wei; John Segrave-Daly; Conor Cullen; Denisa Moga; Jillian Scalvini; Ciaran Hennessy; Morten Kristiansen; Omar O'Sullivan (ICAART (1), 2020)

Social Determinant Trends of COVID-19: An Analysis Using Knowledge Graphs from Published Evidence and Online Trends. - Martin Gleize; Natasha Mulligan; Alessandro Di Bari; Joao H. Bettencourt-Silva (MIE, 2021)

Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output. - Hithesh Sankararaman; Mohammed Yasin; Tanner Sorensen; Alessandro Di Bari; Andreas Stolcke (EMNLP (Industry Track), 2024)

Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents. - Mrinal Rawat; Ambuje Gupta; Rushil Goomer; Alessandro Di Bari; Neha Gupta; Roberto Pieraccini (CoRR, 2025)