Giacomo Frisoni

Orcid: 0000-0002-9845-0231

According to our database1, Giacomo Frisoni authored at least 17 papers between 2020 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
[Emoji] Evidence, my Dear Watson: Abstractive dialogue summarization on learnable relevant utterances.
Neurocomputing, March, 2024

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering.
CoRR, 2024

2023
Graph-Enhanced Biomedical Abstractive Summarization Via Factual Evidence Extraction.
SN Comput. Sci., September, 2023

Efficient text-image semantic search: A multi-modal vision-language approach for fashion retrieval.
Neurocomputing, June, 2023

Efficient Memory-Enhanced Transformer for Long-Document Summarization in Low-Resource Regimes.
Sensors, April, 2023

Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models.
Sensors, 2022

Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature.
Sensors, 2022

BioReader: a Retrieval-Enhanced Text-to-Text Transformer for Biomedical Literature.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Enhancing Biomedical Scientific Reviews Summarization with Graph-based Factual Evidence Extracted from Papers.
Proceedings of the 11th International Conference on Data Science, 2022

Text-to-Text Extraction and Verbalization of Biomedical Event Graphs.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
A Survey on Event Extraction for Natural Language Understanding: Riding the Biomedical Literature Wave.
IEEE Access, 2021

2020
Towards Rare Disease Knowledge Graph Learning from Social Posts of Patients.
Proceedings of the Research and Innovation Forum 2020, 2020

Unsupervised Descriptive Text Mining for Knowledge Graph Learning.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining.
Proceedings of the 9th International Conference on Data Science, 2020

Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge.
Proceedings of the Data Management Technologies and Applications, 2020


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