3 papers
cs.IR2025
Improving Document Retrieval Coherence for Semantically Equivalent Queries
Stefano Campese, Alessandro Moschitti, Ivano Lauriola
Dense Retrieval (DR) models have proven to be effective for Document Retrieval and Information Grounding tasks. Usually, these models are trained and optimized for improving the re…
cs.CL2024
Datasets for Multilingual Answer Sentence Selection
Matteo Gabburo, Stefano Campese, Federico Agostini +1
Answer Sentence Selection (AS2) is a critical task for designing effective retrieval-based Question Answering (QA) systems. Most advancements in AS2 focus on English due to the sca…
cs.CL2023
QUADRo: Dataset and Models for QUestion-Answer Database Retrieval
Stefano Campese, Ivano Lauriola, Alessandro Moschitti
An effective paradigm for building Automated Question Answering systems is the re-use of previously answered questions, e.g., for FAQs or forum applications. Given a database (DB)…