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2020 – today
- 2024
[c18]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: 9441-9457- [i6]Gabriele Picco, Leopold Fuchs, Marcos Martínez Galindo, Alberto Purpura, Vanessa López, Hoang Thanh Lam:
Description Boosting for Zero-Shot Entity and Relation Classification. CoRR abs/2406.02245 (2024) - 2023
- [c17]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: 357-368 - [c16]Alberto Purpura, Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Natasha Mulligan, Joao H. Bettencourt-Silva, Alessandra Pascale:
Automated Feature Selection from Medical Literature. MedInfo 2023: 1436-1437 - [i5]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 abs/2307.13497 (2023) - 2022
- [j4]Alberto Purpura
, Giuseppe Sartori, Dora Giorgianni, Graziella Orrù, Gian Antonio Susto:
Identifying Faked Responses in Questionnaires with Self-Attention-Based Autoencoders. Informatics 9(1): 23 (2022) - [j3]Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Learning to rank from relevance judgments distributions. J. Assoc. Inf. Sci. Technol. 73(9): 1236-1252 (2022) - [c15]Alberto Purpura, Francesca Bonin, Joao H. Bettencourt-Silva:
Accelerating the Discovery of Semantic Associations from Medical Literature: Mining Relations Between Diseases and Symptoms. EMNLP (Industry Track) 2022: 77-89 - [c14]Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Learning to Rank from Relevance Judgments Distributions. IIR 2022 - [i4]Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Learning to Rank from Relevance Judgments Distributions. CoRR abs/2202.06337 (2022) - 2021
- [c13]Alberto Purpura, Gian Antonio Susto:
A Bayesian Neural Model for Documents' Relevance Estimation. DESIRES 2021: 156-161 - [c12]Alberto Purpura, Karolina Buchner, Gianmaria Silvello, Gian Antonio Susto:
Neural Feature Selection for Learning to Rank. ECIR (2) 2021: 342-349 - [c11]Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Measuring Gender Stereotype Reinforcement in Information Retrieval Systems. IIR 2021 - [i3]Alberto Purpura, Karolina Buchner, Gianmaria Silvello, Gian Antonio Susto:
Neural Feature Selection for Learning to Rank. CoRR abs/2102.11345 (2021) - 2020
- [j2]Stefano Marchesin, Alberto Purpura, Gianmaria Silvello:
Focal elements of neural information retrieval models. An outlook through a reproducibility study. Inf. Process. Manag. 57(6): 102109 (2020) - [j1]Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms. Inf. Process. Manag. 57(6): 102377 (2020) - [c10]Nicola Ferro, Stefano Marchesin, Alberto Purpura, Gianmaria Silvello:
Reproducibility of the Neural Vector Space Model via Docker. IRCDL 2020: 3-8 - [i2]Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Gender Stereotype Reinforcement: Measuring the Gender Bias Conveyed by Ranking Algorithms. CoRR abs/2009.01334 (2020)
2010 – 2019
- 2019
- [c9]Alberto Purpura, Marco Maggipinto, Gianmaria Silvello, Gian Antonio Susto:
Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now). ICTIR 2019: 3-10 - [c8]Alberto Purpura, Chiara Masiero, Gianmaria Silvello, Gian Antonio Susto:
Feature Selection for Emotion Classification. IIR 2019: 47-48 - [c7]Nicola Ferro, Stefano Marchesin, Alberto Purpura, Gianmaria Silvello:
A Docker-Based Replicability Study of a Neural Information Retrieval Model. OSIRRC@SIGIR 2019: 37-43 - [c6]Alberto Purpura, Chiara Masiero, Gianmaria Silvello, Gian Antonio Susto:
Supervised Lexicon Extraction for Emotion Classification. WWW (Companion Volume) 2019: 1071-1078 - [i1]Alberto Purpura, Marco Calaresu:
A Semi-Automated Approach for Information Extraction, Classification and Analysis of Unstructured Data. CoRR abs/1910.12734 (2019) - 2018
- [c5]Alberto Purpura:
Non-negative Matrix Factorization for Topic Modeling. DESIRES 2018: 102 - [c4]Alberto Purpura, Chiara Masiero, Gian Antonio Susto:
WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews. DS 2018: 386-401 - [c3]Gianmaria Silvello, Riccardo Bucco, Giulio Busato, Giacomo Fornari, Andrea Langeli, Alberto Purpura, Giacomo Rocco, Alessandro Tezza, Maristella Agosti:
Statistical Stemmers: A Reproducibility Study. ECIR 2018: 385-397 - 2017
- [c2]Alex Badan, Luca Benvegnù, Matteo Biasetton, Giovanni Bonato, Alessandro Brighente, Alberto Cenzato, Piergiorgio Ceron, Giovanni Cogato, Stefano Marchesin, Alberto Minetto, Leonardo Pellegrina, Alberto Purpura, Riccardo Simionato, Nicolò Soleti, Matteo Tessarotto, Andrea Tonon, Federico Vendramin, Nicola Ferro:
Towards Open-Source Shared Implementations of Keyword-Based Access Systems to Relational Data. EDBT/ICDT Workshops 2017 - [c1]Alex Badan, Luca Benvegnù, Matteo Biasetton, Giovanni Bonato, Alessandro Brighente, Stefano Marchesin, Alberto Minetto, Leonardo Pellegrina, Alberto Purpura, Riccardo Simionato, Matteo Tessarotto, Andrea Tonon, Nicola Ferro:
Keyword-based access to relational data: To reproduce, or to not reproduce? SEBD 2017: 166
Coauthor Index
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last updated on 2024-10-07 21:14 CEST by the dblp team
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