Gabriele Picco

According to our database1, Gabriele Picco authored at least 12 papers between 2020 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
Knowledge Enhanced Representation Learning for Drug Discovery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Ephemeral Rollups are All you Need.
CoRR, 2023

Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery.
CoRR, 2023

Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Envisioning a Human-AI collaborative system to transform policies into decision models.
CoRR, 2022

2021
Neural Unification for Logic Reasoning over Natural Language.
CoRR, 2021

Ensembling Graph Predictions for AMR Parsing.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Insurance Benefit Rules from Policy Texts with Small Labeled Data.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Neural Unification for Logic Reasoning over Natural Language.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Ontology-Guided Policy Information Extraction for Healthcare Fraud Detection.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020


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