Vol-3194/tutorial
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Paper | |
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edit | |
description | |
id | Vol-3194/tutorial |
wikidataid | Q117345020→Q117345020 |
title | A Pragmatic Approach to Neural Information Retrieval |
pdfUrl | https://ceur-ws.org/Vol-3194/tutorial.pdf |
dblpUrl | https://dblp.org/rec/conf/sebd/NardiniT22 |
volume | Vol-3194→Vol-3194 |
session | → |
A Pragmatic Approach to Neural Information Retrieval
A Pragmatic Approach to Neural Information Retrieval Franco Maria Nardini1 , Salvatore Trani1 1 ISTI-CNR, Italy Abstract This tutorial provides a gentle introduction to Neural Information Retrieval (NIR). In the last few years, neural techniques have been fruitfully applied to both Natural Language Processing and Information Retrieval (IR). We will review the recent approaches applying neural networks to the IR ad-hoc task, i.e., ranking documents given a textual query. The tutorial will also provide some practical hands-on sessions where attendees will learn how to experiment and apply the techniques reviewed to public datasets. SEBD 2022: The 30th Italian Symposium on Advanced Database Systems, June 19-22, 2022, Tirrenia (PI), Italy © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings http://ceur-ws.org ISSN 1613-0073 CEUR Workshop Proceedings (CEUR-WS.org) �