Carlo Lipizzi

Orcid: 0000-0001-7888-3382

According to our database1, Carlo Lipizzi authored at least 18 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Mitigating Large Language Model Bias: Automated Dataset Augmentation and Prejudice Quantification.
Comput., June, 2024

Learning Multimodal Latent Space with EBM Prior and MCMC Inference.
CoRR, 2024

Ensuring Responsible Sourcing of Large Language Model Training Data Through Knowledge Graph Comparison.
CoRR, 2024

Reducing Large Language Model Bias with Emphasis on 'Restricted Industries': Automated Dataset Augmentation and Prejudice Quantification.
CoRR, 2024

Tell me the truth: A system to measure the trustworthiness of Large Language Models.
CoRR, 2024

2023
Information Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches.
CoRR, 2023

From Ambiguity to Explicitness: NLP-Assisted 5G Specification Abstraction for Formal Analysis.
Proceedings of the 12th IEEE International Conference on Cloud Networking, 2023

2022
A Quantitative and Content-Based Approach for Evaluating the Impact of Counter Narratives on Affective Polarization in Online Discussions.
IEEE Trans. Comput. Soc. Syst., 2022

Natural Language in Requirements Engineering for Structure Inference - An Integrative Review.
CoRR, 2022

2021
Content-Aware Galaxies: Digital Fingerprints of Discussions on Social Media.
IEEE Trans. Comput. Soc. Syst., 2021

2020
A computational model implementing subjectivity with the 'Room Theory'. The case of detecting Emotion from Text.
CoRR, 2020

Pheonix at SemEval-2020 Task 5: Masking the Labels Lubricates Models for Sequence Labeling.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

WINS: Web Interface for Network Science via Natural Language Distributed Representations.
Proceedings of the HCI International 2020 - Posters - 22nd International Conference, 2020

2019
Characterizing negative sentiments in at-risk populations via crowd computing: a computational social science approach.
Int. J. Data Sci. Anal., 2019

2017
Measuring Polarization in Twitter Enabled in Online Political Conversation: The Case of 2016 US Presidential Election.
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

2016
Towards computational discourse analysis: A methodology for mining Twitter backchanneling conversations.
Comput. Hum. Behav., 2016

Social Media Conversation Monitoring: Visualize Information Contents of Twitter Messages Using Conversational Metrics.
Proceedings of the International Conference on Computational Science 2016, 2016

2015
Extracting and evaluating conversational patterns in social media: A socio-semantic analysis of customers' reactions to the launch of new products using Twitter streams.
Int. J. Inf. Manag., 2015


  Loading...