Gabriele Picco

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Graph Representation

Natural Language

Decision Models

Top Venues

Publications

Gabriele Picco, Leopold Fuchs, Marcos Martínez Galindo, Alberto Purpura, Vanessa López, Hoang Thanh Lam
Description Boosting for Zero-Shot Entity and Relation Classification. ACL (Findings) (2024)
Thanh Lam Hoang, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Victor Valls, Gabriele Picco, Cesar Berrospi, Vanessa López
Knowledge Enhanced Representation Learning for Drug Discovery. AAAI (2024)
Gabriele Picco, Leopold Fuchs, Marcos Martínez Galindo, Alberto Purpura, Vanessa López, Hoang Thanh Lam
Description Boosting for Zero-Shot Entity and Relation Classification. CoRR (2024)
Gabriele Picco, Marcos Martínez Galindo, Alberto Purpura, Leopold Fuchs, Vanessa López, Hoang Thanh Lam
Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction. CoRR (2023)
Gabriele Picco, Marcos Martínez Galindo, Alberto Purpura, Leopold Fuchs, Vanessa López, Thanh Lam Hoang
Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction. ACL (demo) (2023)
Myles Foley, Ambrish Rawat, Taesung Lee, Yufang Hou, Gabriele Picco, Giulio Zizzo
Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models. ACL (1) (2023)
Myles Foley, Ambrish Rawat, Taesung Lee, Yufang Hou, Gabriele Picco, Giulio Zizzo
Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models. CoRR (2023)
Gabriele Picco, Andrea Fortugno
Ephemeral Rollups are All you Need. CoRR (2023)
Hoang Thanh Lam, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Víctor Valls, Gabriele Picco, Cesar Berrospi Ramis, Vanessa López
Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery. CoRR (2023)
Vanessa López, Gabriele Picco, Inge Vejsbjerg, Thanh Lam Hoang, Yufang Hou, Marco Luca Sbodio, John Segrave-Daly, Denisa Moga, Sean Swords, Miao Wei, Eoin Carrol
Envisioning a Human-AI collaborative system to transform policies into decision models. CoRR (2022)
Vanessa López, Nagesh Yadav, Gabriele Picco, Inge Vejsbjerg, Eoin Carrol, Seamus Brady, Marco Luca Sbodio, Hoang Thanh Lam, Miao Wei, John Segrave-Daly
Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy. ACL/IJCNLP (Findings) (2021)
Thanh Lam Hoang, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo
Ensembling Graph Predictions for AMR Parsing. NeurIPS (2021)
Hoang Thanh Lam, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo
Ensembling Graph Predictions for AMR Parsing. CoRR (2021)
Gabriele Picco, Hoang Thanh Lam, Vanessa López, John Segrave-Daly, Miao Wei, Marco Luca Sbodio, Inge Vejsbjerg, Seamus Brady, Morten Kristiansen
Learning Insurance Benefit Rules from Policy Texts with Small Labeled Data. MedInfo (2021)
Gabriele Picco, Thanh Lam Hoang, Marco Luca Sbodio, Vanessa López
Neural Unification for Logic Reasoning over Natural Language. EMNLP (Findings) (2021)
Gabriele Picco, Hoang Thanh Lam, Marco Luca Sbodio, Vanessa López Garcia
Neural Unification for Logic Reasoning over Natural Language. CoRR (2021)
Theodora S. Brisimi, Vanessa López, Valentina Rho, Marco Luca Sbodio, Gabriele Picco, Morten Kristiansen, John Segrave-Daly, Conor Cullen
Ontology-Guided Policy Information Extraction for Healthcare Fraud Detection. MIE (2020)