Extracting and evaluating conversational patterns in social media: A socio-semantic analysis of customers' reactions to the launch of new products using Twitter streams. - Carlo Lipizzi; Luca Iandoli; Jose Emmanuel Ramirez-Marquez (Int. J. Inf. Manag., 2015)

Social Media Conversation Monitoring: Visualize Information Contents of Twitter Messages Using Conversational Metrics. - Carlo Lipizzi; José Emmanuel Ramirez-Marquez; Dante Gama Dessavre; Luca Iandoli (ICCS, 2016)

Towards computational discourse analysis: A methodology for mining Twitter backchanneling conversations. - Carlo Lipizzi; Dante Gama Dessavre; Luca Iandoli; Jose Emmanuel Ramirez-Marquez (Comput. Hum. Behav., 2016)

Measuring Polarization in Twitter Enabled in Online Political Conversation: The Case of 2016 US Presidential Election. - Simonetta Primario; Dario Borrelli; Luca Iandoli; Giuseppe Zollo; Carlo Lipizzi (IRI, 2017)

Characterizing negative sentiments in at-risk populations via crowd computing: a computational social science approach. - Jesus Garcia-Mancilla; Jose Emmanuel Ramirez-Marquez; Carlo Lipizzi; Gregg T. Vesonder; Víctor M. González 001 (Int. J. Data Sci. Anal., 2019)

WINS: Web Interface for Network Science via Natural Language Distributed Representations. - Dario Borrelli; Razieh L. Saremi; Sri Vallabhaneni; Antonio Pugliese; Rohit Shankar; Denisse Martinez-Mejorado; Luca Iandoli; Jose Emmanuel Ramirez-Marquez; Carlo Lipizzi (HCI (38), 2020)

Pheonix at SemEval-2020 Task 5: Masking the Labels Lubricates Models for Sequence Labeling. - Pouria Babvey; Dario Borrelli; Yutong Zhao; Carlo Lipizzi (SemEval@COLING, 2020)

A computational model implementing subjectivity with the 'Room Theory'. The case of detecting Emotion from Text. - Carlo Lipizzi; Dario Borrelli; Fernanda de Oliveira Capela (CoRR, 2020)

Content-Aware Galaxies: Digital Fingerprints of Discussions on Social Media. - Pouria Babvey; Dario Borrelli; Carlo Lipizzi; Jose Emmanuel Ramirez-Marquez (IEEE Trans. Comput. Soc. Syst., 2021)

Natural Language in Requirements Engineering for Structure Inference - An Integrative Review. - Maximilian Vierlboeck; Carlo Lipizzi; Roshanak Nilchiani (CoRR, 2022)

A Quantitative and Content-Based Approach for Evaluating the Impact of Counter Narratives on Affective Polarization in Online Discussions. - Dario Borrelli; Luca Iandoli; Jose Emmanuel Ramirez-Marquez; Carlo Lipizzi (IEEE Trans. Comput. Soc. Syst., 2022)

From Ambiguity to Explicitness: NLP-Assisted 5G Specification Abstraction for Formal Analysis. - Shiyu Yuan; Jingda Yang; Sudhanshu Arya; Carlo Lipizzi; Ying Wang 113 (CloudNet, 2023)

Information Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches. - Shiyu Yuan; Carlo Lipizzi (CoRR, 2023)

Tell me the truth: A system to measure the trustworthiness of Large Language Models. - Carlo Lipizzi (CoRR, 2024)

Reducing Large Language Model Bias with Emphasis on 'Restricted Industries': Automated Dataset Augmentation and Prejudice Quantification. - Devam Mondal; Carlo Lipizzi (CoRR, 2024)

Ensuring Responsible Sourcing of Large Language Model Training Data Through Knowledge Graph Comparison. - Devam Mondal; Carlo Lipizzi (CoRR, 2024)

Learning Multimodal Latent Space with EBM Prior and MCMC Inference. - Shiyu Yuan; Carlo Lipizzi; Tian Han (CoRR, 2024)

Mitigating Large Language Model Bias: Automated Dataset Augmentation and Prejudice Quantification. - Devam Mondal; Carlo Lipizzi (Comput., 2024)

Steve: LLM Powered ChatBot for Career Progression. - Naveen Mathews Renji; Balaji R. Rao; Carlo Lipizzi (CoRR, 2025)

Neural Theorem Proving: Generating and Structuring Proofs for Formal Verification. - Balaji Rao; William Eiers; Carlo Lipizzi (CoRR, 2025)