Difference between revisions of "Vol-3194/tutorial"
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{{Paper | {{Paper | ||
| + | |id=Vol-3194/tutorial | ||
| + | |storemode=property | ||
| + | |title=A Pragmatic Approach to Neural Information Retrieval | ||
| + | |pdfUrl=https://ceur-ws.org/Vol-3194/tutorial.pdf | ||
| + | |volume=Vol-3194 | ||
| + | |authors=Franco Maria Nardini,Salvatore Trani | ||
| + | |dblpUrl=https://dblp.org/rec/conf/sebd/NardiniT22 | ||
|wikidataid=Q117345020 | |wikidataid=Q117345020 | ||
}} | }} | ||
| + | ==A Pragmatic Approach to Neural Information Retrieval== | ||
| + | <pdf width="1500px">https://ceur-ws.org/Vol-3194/tutorial.pdf</pdf> | ||
| + | <pre> | ||
| + | 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) | ||
| + | � | ||
| + | </pre> | ||
Latest revision as of 18:00, 30 March 2023
Paper
| Paper | |
|---|---|
 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)
�