Ivano Lauriola

According to our database, Ivano Lauriola authored at least 31 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Pre-Training Methods for Question Reranking.

Stefano Campese, Ivano Lauriola, Alessandro Moschitti

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

QUADRo: Dataset and Models for QUestion-Answer Database Retrieval.

Stefano Campese, Ivano Lauriola, Alessandro Moschitti

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Accurate Training of Web-based Question Answering Systems with Feedback from Ranked Users.

Liang Wang, Ivano Lauriola, Alessandro Moschitti

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools.

Ivano Lauriola, Alberto Lavelli, Fabio Aiolli

Neurocomputing, 2022

Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification.

Ivano Lauriola, Kevin Small, Alessandro Moschitti

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

FocusQA: Open-Domain Question Answering with a Context in Focus.

Gianni Barlacchi, Ivano Lauriola, Alessandro Moschitti, Marco Del Tredici, Xiaoyu Shen, Thuy Vu, Bill Byrne, Adrià de Gispert

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Learning adaptive representations for entity recognition in the biomedical domain.

Ivano Lauriola, Fabio Aiolli, Alberto Lavelli, Fabio Rinaldi

J. Biomed. Semant., 2021

Exploring the structure of BERT through Kernel Learning.

Ivano Lauriola, Alberto Lavelli, Alessandro Moschitti, Fabio Aiolli

Proceedings of the International Joint Conference on Neural Networks, 2021

Answer Sentence Selection Using Local and Global Context in Transformer Models.

Ivano Lauriola, Alessandro Moschitti

Proceedings of the Advances in Information Retrieval, 2021

2020

Learning deep kernels in the space of monotone conjunctive polynomials.

Ivano Lauriola, Mirko Polato, Fabio Aiolli

Pattern Recognit. Lett., 2020

Enhancing deep neural networks via multiple kernel learning.

Ivano Lauriola, Claudio Gallicchio, Fabio Aiolli

Pattern Recognit., 2020

MKLpy: a python-based framework for Multiple Kernel Learning.

Ivano Lauriola, Fabio Aiolli

CoRR, 2020

Context-based Transformer Models for Answer Sentence Selection.

Ivano Lauriola, Alessandro Moschitti

CoRR, 2020

DecOp: A Multilingual and Multi-domain Corpus For Detecting Deception In Typed Text.

Pasquale Capuozzo, Ivano Lauriola, Carlo Strapparava, Fabio Aiolli, Giuseppe Sartori

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Monotone Deep Spectrum Kernels.

Ivano Lauriola, Fabio Aiolli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Language processing in the era of deep learning.

Ivano Lauriola, Alberto Lavelli, Fabio Aiolli

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Exploring the feature space of character-level embeddings.

Ivano Lauriola, Stefano Campese, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Automatic Detection of Cross-language Verbal Deception.

Pasquale Capuozzo, Ivano Lauriola, Carlo Strapparava, Fabio Aiolli, Giuseppe Sartori

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

A Preference-Learning Framework for Modeling Relational Data.

Ivano Lauriola, Mirko Polato, Guglielmo Faggioli, Fabio Aiolli

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Psychiatric Disorders Classification with 3D Convolutional Neural Networks.

Stefano Campese, Ivano Lauriola, Cristina Scarpazza, Giuseppe Sartori, Fabio Aiolli

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Playing the Large Margin Preference Game.

Mirko Polato, Guglielmo Faggioli, Ivano Lauriola, Fabio Aiolli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Evaluation of Tag Clusterings for User Profiling in Movie Recommendation.

Guglielmo Faggioli, Mirko Polato, Ivano Lauriola, Fabio Aiolli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Do people believe in Artificial Intelligence?: A cross-topic multicultural study.

Agnieszka Kolasinska, Ivano Lauriola, Giacomo Quadrio

Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

2018

A Novel Boolean Kernels Family for Categorical Data.

Mirko Polato, Ivano Lauriola, Fabio Aiolli

Entropy, 2018

Learning Preferences for Large Scale Multi-label Problems.

Ivano Lauriola, Mirko Polato, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

The minimum effort maximum output principle applied to Multiple Kernel Learning.

Ivano Lauriola, Mirko Polato, Fabio Aiolli

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Learning Representations for Biomedical NER.

Ivano Lauriola, Riccardo Sella, Fabio Aiolli, Alberto Lavelli, Fabio Rinaldi

Proceedings of the 2nd Workshop on Natural Language for Artificial Intelligence (NL4AI 2018) co-located with 17th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2018), 2018

2017

Classification of Categorical Data in the Feature Space of Monotone DNFs.

Mirko Polato, Ivano Lauriola, Fabio Aiolli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning.

Ivano Lauriola, Mirko Polato, Fabio Aiolli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Learning dot-product polynomials for multiclass problems.

Ivano Lauriola, Michele Donini, Fabio Aiolli

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning.

Michele Donini, Nicolò Navarin, Ivano Lauriola, Fabio Aiolli, Fabrizio Costa

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017