04 Contributo in convegno

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A Pilot Project for Promoting Linguistic Linked Open Data

This paper presents a pilot initiative, part of the H2IOSC infrastructure, that strives to support and promote the creation, publication, and sharing of Linguistic Linked Open Data (LLOD) in Italy and beyond. We describe the different parts of the pilot project: those related to vocabulary hosting, RDF data publication, training development, and use case promotion. Key contributions include the publication and hosting of the REALITER series of lexicons, the PLLOD triple store platform, and LL...

Evaluating the efficiency and effectiveness of learned sparse retrieval with the lsr_benchmark

Learned sparse retrieval (LSR) models exhibit varying trade-offs between effectiveness and efficiency. But while standard tools exist for evaluating LSR effectiveness, there is none for evaluating efficiency. Also, datasets with high-quality relevance judgments are too large for repeated efficiency experiments, e.g., on different hardware configurations. To promote the evaluation of LSR models in terms of their effectiveness and efficiency, we introduce the lsr_benchmark, which meas...

Multivector Reranking in the era of strong first-stage retrievers

Learned multivector representations power modern search systems with strong retrieval effectiveness, but their real-world use is limited by the high cost of exhaustive token-level retrieval. Therefore, most systems adopt a gather-and-refine strategy, where a lightweight gather phase selects candidates for full scoring. However, this approach requires expensive searches over large token-level indexes and often misses the documents that would rank highest under full similarity. In this paper, w...

Forward index compression for learned sparse retrieval

Text retrieval using learned sparse representations of queries and documents has, over the years, evolved into a highly effective approach to search. It is thanks to recent advances in approximate nearest neighbor search—with the emergence of highly efficient algorithms such as the inverted index-based Seismic and the graph-based Hnsw—that retrieval with sparse representations became viable in practice. In this work, we scrutinize the efficiency of sparse retrieval algorithms and focus partic...

Non-uniform grid-based susceptibility evaluations: An application to flow-type phenomena at Mount Etna

alutazioni di suscettibilità basate su una griglia non uniforme di punti d’innesco: un’applicazione a fenomeni da flusso nell’area etnea. Un metodo di campionamento, basato su una griglia non uniforme di punti d’innesco ed accoppiato a simulazioni numeriche di eventi indipendenti, è stato impiegato per valutare la pericolosità indotta da fenomeni da flusso: in questo studio è descritto un esempio di applicazione ai flussi lavici dell’Etna (Italia). Il metodo mira a perfezionare la distribuzio...

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