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2020 – today
- 2024
[j6]Devam Mondal
, Carlo Lipizzi:
Mitigating Large Language Model Bias: Automated Dataset Augmentation and Prejudice Quantification. Comput. 13(6): 141 (2024)- [i8]Carlo Lipizzi:
Tell me the truth: A system to measure the trustworthiness of Large Language Models. CoRR abs/2403.04964 (2024) - [i7]Devam Mondal, Carlo Lipizzi:
Reducing Large Language Model Bias with Emphasis on 'Restricted Industries': Automated Dataset Augmentation and Prejudice Quantification. CoRR abs/2403.13925 (2024) - [i6]Devam Mondal, Carlo Lipizzi:
Ensuring Responsible Sourcing of Large Language Model Training Data Through Knowledge Graph Comparison. CoRR abs/2407.02659 (2024) - [i5]Shiyu Yuan, Carlo Lipizzi, Tian Han:
Learning Multimodal Latent Space with EBM Prior and MCMC Inference. CoRR abs/2408.10467 (2024) - 2023
- [c5]Shiyu Yuan, Jingda Yang, Sudhanshu Arya, Carlo Lipizzi, Ying Wang:
From Ambiguity to Explicitness: NLP-Assisted 5G Specification Abstraction for Formal Analysis. CloudNet 2023: 229-237 - [i4]Shiyu Yuan, Carlo Lipizzi:
Information Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches. CoRR abs/2307.00130 (2023) - [i3]Shiyu Yuan, Jingda Yang, Sudhanshu Arya, Carlo Lipizzi, Ying Wang:
From Ambiguity to Explicitness: NLP-Assisted 5G Specification Abstraction for Formal Analysis. CoRR abs/2308.03277 (2023) - 2022
- [j5]Dario Borrelli, Luca Iandoli, Jose Emmanuel Ramirez-Marquez, Carlo Lipizzi:
A Quantitative and Content-Based Approach for Evaluating the Impact of Counter Narratives on Affective Polarization in Online Discussions. IEEE Trans. Comput. Soc. Syst. 9(3): 914-925 (2022) - [i2]Maximilian Vierlboeck, Carlo Lipizzi, Roshanak Nilchiani:
Natural Language in Requirements Engineering for Structure Inference - An Integrative Review. CoRR abs/2202.05065 (2022) - 2021
- [j4]Pouria Babvey, Dario Borrelli, Carlo Lipizzi, Jose Emmanuel Ramirez-Marquez:
Content-Aware Galaxies: Digital Fingerprints of Discussions on Social Media. IEEE Trans. Comput. Soc. Syst. 8(2): 294-307 (2021) - 2020
- [c4]Dario Borrelli, Razieh L. Saremi, Sri Vallabhaneni, Antonio Pugliese, Rohit Shankar, Denisse Martinez-Mejorado, Luca Iandoli, Jose Emmanuel Ramirez-Marquez, Carlo Lipizzi:
WINS: Web Interface for Network Science via Natural Language Distributed Representations. HCI (38) 2020: 614-621 - [c3]Pouria Babvey, Dario Borrelli, Yutong Zhao, Carlo Lipizzi:
Pheonix at SemEval-2020 Task 5: Masking the Labels Lubricates Models for Sequence Labeling. SemEval@COLING 2020: 677-682 - [i1]Carlo Lipizzi, Dario Borrelli, Fernanda de Oliveira Capela:
A computational model implementing subjectivity with the 'Room Theory'. The case of detecting Emotion from Text. CoRR abs/2005.06059 (2020)
2010 – 2019
- 2019
- [j3]Jesus Garcia-Mancilla, Jose Emmanuel Ramirez-Marquez, Carlo Lipizzi, Gregg T. Vesonder, Víctor M. González:
Characterizing negative sentiments in at-risk populations via crowd computing: a computational social science approach. Int. J. Data Sci. Anal. 7(3): 165-177 (2019) - 2017
- [c2]Simonetta Primario, Dario Borrelli, Luca Iandoli, Giuseppe Zollo, Carlo Lipizzi:
Measuring Polarization in Twitter Enabled in Online Political Conversation: The Case of 2016 US Presidential Election. IRI 2017: 607-613 - 2016
- [j2]Carlo Lipizzi, Dante Gama Dessavre, Luca Iandoli, Jose Emmanuel Ramirez-Marquez:
Towards computational discourse analysis: A methodology for mining Twitter backchanneling conversations. Comput. Hum. Behav. 64: 782-792 (2016) - [c1]Carlo Lipizzi, José Emmanuel Ramirez-Marquez, Dante Gama Dessavre, Luca Iandoli:
Social Media Conversation Monitoring: Visualize Information Contents of Twitter Messages Using Conversational Metrics. ICCS 2016: 2216-2220 - 2015
- [j1]Carlo Lipizzi, Luca Iandoli, Jose Emmanuel Ramirez-Marquez:
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. 35(4): 490-503 (2015)
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