Ivano Lauriola

36 papers B 9Journal 9Unranked 18
YearRankTypeTitle / Venue / Authors
2025 — conf
Analyzing and Improving Coherence of Large Language Models in Question Answering.
NAACL (Long Papers)
Ivano Lauriola, Stefano Campese, Alessandro Moschitti
2025 — conf
Improving Document Retrieval Coherence for Semantically Equivalent Queries.
IJCNLP-AACL (long papers)
Stefano Campese, Alessandro Moschitti, Ivano Lauriola
2025 J jnl
Improving Document Retrieval Coherence for Semantically Equivalent Queries.
CoRR
Stefano Campese, Alessandro Moschitti, Ivano Lauriola
2024 — conf
Pre-Training Methods for Question Reranking.
EACL (2)
Stefano Campese, Ivano Lauriola, Alessandro Moschitti
2023 — conf
Accurate Training of Web-based Question Answering Systems with Feedback from Ranked Users.
ACL (industry)
Liang Wang, Ivano Lauriola, Alessandro Moschitti
2023 — conf
QUADRo: Dataset and Models for QUestion-Answer Database Retrieval.
EMNLP (Findings)
Stefano Campese, Ivano Lauriola, Alessandro Moschitti
2023 J jnl
QUADRo: Dataset and Models for QUestion-Answer Database Retrieval.
CoRR
Stefano Campese, Ivano Lauriola, Alessandro Moschitti
2022 J jnl
An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools.
Neurocomputing
Ivano Lauriola, Alberto Lavelli, Fabio Aiolli
2022 B conf
Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification.
LREC
Ivano Lauriola, Kevin Small, Alessandro Moschitti
2022 — conf
FocusQA: Open-Domain Question Answering with a Context in Focus.
EMNLP (Findings)
Gianni Barlacchi, Ivano Lauriola, Alessandro Moschitti, Marco Del Tredici, Xiaoyu Shen, Thuy Vu, Bill Byrne, Adrià de Gispert
2021 — conf
Answer Sentence Selection Using Local and Global Context in Transformer Models.
ECIR (1)
Ivano Lauriola, Alessandro Moschitti
2021 B conf
Exploring the structure of BERT through Kernel Learning.
IJCNN
Ivano Lauriola, Alberto Lavelli, Alessandro Moschitti, Fabio Aiolli
2021 J jnl
Learning adaptive representations for entity recognition in the biomedical domain.
J. Biomed. Semant.
Ivano Lauriola, Fabio Aiolli, Alberto Lavelli, Fabio Rinaldi
2020 B conf
Automatic Detection of Cross-language Verbal Deception.
CogSci
Pasquale Capuozzo, Ivano Lauriola, Carlo Strapparava, Fabio Aiolli, Giuseppe Sartori
2020 J jnl
Context-based Transformer Models for Answer Sentence Selection.
CoRR
Ivano Lauriola, Alessandro Moschitti
2020 B conf
DecOp: A Multilingual and Multi-domain Corpus For Detecting Deception In Typed Text.
LREC
Pasquale Capuozzo, Ivano Lauriola, Carlo Strapparava, Fabio Aiolli, Giuseppe Sartori
2020 J jnl
Enhancing deep neural networks via multiple kernel learning.
Pattern Recognit.
Ivano Lauriola, Claudio Gallicchio, Fabio Aiolli
2020 B conf
Exploring the feature space of character-level embeddings.
ESANN
Ivano Lauriola, Stefano Campese, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli
2020 B conf
Language processing in the era of deep learning.
ESANN
Ivano Lauriola, Alberto Lavelli, Fabio Aiolli
2020 J jnl
Learning deep kernels in the space of monotone conjunctive polynomials.
Pattern Recognit. Lett.
Ivano Lauriola, Mirko Polato, Fabio Aiolli
2020 J jnl
MKLpy: a python-based framework for Multiple Kernel Learning.
CoRR
Ivano Lauriola, Fabio Aiolli
2020 — conf
Monotone Deep Spectrum Kernels.
ICANN (1)
Ivano Lauriola, Fabio Aiolli
2019 — conf
A Preference-Learning Framework for Modeling Relational Data.
INNSBDDL
Ivano Lauriola, Mirko Polato, Guglielmo Faggioli, Fabio Aiolli
2019 — conf
Do people believe in Artificial Intelligence?: A cross-topic multicultural study.
GOODTECHS
Agnieszka Kolasinska, Ivano Lauriola, Giacomo Quadrio
2019 — conf
Evaluation of Tag Clusterings for User Profiling in Movie Recommendation.
ICANN (Workshop)
Guglielmo Faggioli, Mirko Polato, Ivano Lauriola, Fabio Aiolli
2019 — conf
Playing the Large Margin Preference Game.
ICANN (2)
Mirko Polato, Guglielmo Faggioli, Ivano Lauriola, Fabio Aiolli
2019 — conf
Psychiatric Disorders Classification with 3D Convolutional Neural Networks.
INNSBDDL
Stefano Campese, Ivano Lauriola, Cristina Scarpazza, Giuseppe Sartori, Fabio Aiolli
2018 J jnl
A Novel Boolean Kernels Family for Categorical Data.
Entropy
Mirko Polato, Ivano Lauriola, Fabio Aiolli
2018 — conf
Learning Deep Representations for Natural Language Processing Applications.
DC@AI*IA
Ivano Lauriola
2018 — conf
Learning Preferences for Large Scale Multi-label Problems.
ICANN (1)
Ivano Lauriola, Mirko Polato, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli
2018 — conf
Learning Representations for Biomedical NER.
NL4AI@AI*IA
Ivano Lauriola, Riccardo Sella, Fabio Aiolli, Alberto Lavelli, Fabio Rinaldi
2018 B conf
The minimum effort maximum output principle applied to Multiple Kernel Learning.
ESANN
Ivano Lauriola, Mirko Polato, Fabio Aiolli
2017 — conf
Classification of Categorical Data in the Feature Space of Monotone DNFs.
ICANN (2)
Mirko Polato, Ivano Lauriola, Fabio Aiolli
2017 B conf
Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning.
ESANN
Michele Donini, Nicolò Navarin, Ivano Lauriola, Fabio Aiolli, Fabrizio Costa
2017 B conf
Learning dot-product polynomials for multiclass problems.
ESANN
Ivano Lauriola, Michele Donini, Fabio Aiolli
2017 — conf
Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning.
ICANN (2)
Ivano Lauriola, Mirko Polato, Fabio Aiolli