Alberto Purpura

Orcid: 0000-0003-1701-7805

According to our database1, Alberto Purpura authored at least 22 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Description Boosting for Zero-Shot Entity and Relation Classification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Automated Feature Selection from Medical Literature.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 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

2022
Learning to rank from relevance judgments distributions.
J. Assoc. Inf. Sci. Technol., 2022

Identifying Faked Responses in Questionnaires with Self-Attention-Based Autoencoders.
Informatics, 2022

Accelerating the Discovery of Semantic Associations from Medical Literature: Mining Relations Between Diseases and Symptoms.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2021
Measuring Gender Stereotype Reinforcement in Information Retrieval Systems.
Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

Neural Feature Selection for Learning to Rank.
Proceedings of the Advances in Information Retrieval, 2021

A Bayesian Neural Model for Documents' Relevance Estimation.
Proceedings of the Second International Conference on Design of Experimental Search & Information REtrieval Systems, 2021

2020
Focal elements of neural information retrieval models. An outlook through a reproducibility study.
Inf. Process. Manag., 2020

Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms.
Inf. Process. Manag., 2020

Reproducibility of the Neural Vector Space Model via Docker.
Proceedings of the Digital Libraries: The Era of Big Data and Data Science, 2020

2019
A Semi-Automated Approach for Information Extraction, Classification and Analysis of Unstructured Data.
CoRR, 2019

Supervised Lexicon Extraction for Emotion Classification.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

A Docker-Based Replicability Study of a Neural Information Retrieval Model.
Proceedings of the Open-Source IR Replicability Challenge co-located with 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Feature Selection for Emotion Classification.
Proceedings of the 10th Italian Information Retrieval Workshop, 2019

Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now).
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

2018
Statistical Stemmers: A Reproducibility Study.
Proceedings of the Advances in Information Retrieval, 2018

WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews.
Proceedings of the Discovery Science - 21st International Conference, 2018

Non-negative Matrix Factorization for Topic Modeling.
Proceedings of the First Biennial Conference on Design of Experimental Search & Information Retrieval Systems, 2018

2017
Keyword-based access to relational data: To reproduce, or to not reproduce?
Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

Towards Open-Source Shared Implementations of Keyword-Based Access Systems to Relational Data.
Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), 2017


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