Diego Antognini

According to our database, Diego Antognini authored at least 26 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ESG Accountability Made Easy: DocQA at Your Service.

Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Assistive Recipe Editing through Critiquing.

Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

pNLP-Mixer: an Efficient all-MLP Architecture for Language.

Francesco Fusco, Damian Pascual, Peter W. J. Staar, Diego Antognini

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Extracting Text Representations for Terms and Phrases in Technical Domains.

Francesco Fusco, Diego Antognini

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

Textual Explanations and Critiques in Recommendation Systems.

Diego Antognini

PhD thesis, 2022

Textual Explanations and Critiques in Recommendation Systems.

Diego Antognini

CoRR, 2022

Interlock-Free Multi-Aspect Rationalization for Text Classification.

Shuangqi Li, Diego Antognini, Boi Faltings

CoRR, 2022

Positive and Negative Critiquing for VAE-based Recommenders.

Diego Antognini, Boi Faltings

CoRR, 2022

Unsupervised Term Extraction for Highly Technical Domains.

Francesco Fusco, Peter W. J. Staar, Diego Antognini

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Active Learning for Imbalanced Civil Infrastructure Data.

Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts.

Martin Milenkoski, Diego Antognini, Claudiu Musat

CoRR, 2021

Addressing fairness in classification with a model-agnostic multi-objective algorithm.

Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Multi-Step Critiquing User Interface for Recommender Systems.

Diana Andreea Petrescu, Diego Antognini, Boi Faltings

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context.

Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Fast Multi-Step Critiquing for VAE-based Recommender Systems.

Diego Antognini, Boi Faltings

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Interacting with Explanations through Critiquing.

Diego Antognini, Claudiu Musat, Boi Faltings

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Rationalization through Concepts.

Diego Antognini, Boi Faltings

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Multi-Dimensional Explanation of Target Variables from Documents.

Diego Antognini, Claudiu Musat, Boi Faltings

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Momentum-based Gradient Methods in Multi-objective Recommender Systems.

Blagoj Mitrevski, Milena Filipovic, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat

CoRR, 2020

T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing.

Diego Antognini, Claudiu Musat, Boi Faltings

CoRR, 2020

Multi-Gradient Descent for Multi-Objective Recommender Systems.

Nikola Milojkovic, Diego Antognini, Giancarlo Bergamin, Boi Faltings, Claudiu Musat

CoRR, 2020

GameWikiSum: a Novel Large Multi-Document Summarization Dataset.

Diego Antognini, Boi Faltings

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset.

Diego Antognini, Boi Faltings

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization.

Diego Antognini, Boi Faltings

CoRR, 2019

Multi-Dimensional Explanation of Reviews.

Diego Antognini, Claudiu Musat, Boi Faltings

CoRR, 2019

2017

Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision.

Athanasios Giannakopoulos, Diego Antognini, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017