This report gives an overview of the system developed by Team DAM for Task 1 of the LongEval Lab at CLEF 2024. The team members are students enrolled in the Computer Engineering master's program at the University of Padua. The team developed an information retrieval system which is then used to perform queries on a corpus of documents in French language, or in their translated English version.

SEUPD@CLEF: Team DAM on Reranking Using Sentence Embedders

Ferro N.
2024

Abstract

This report gives an overview of the system developed by Team DAM for Task 1 of the LongEval Lab at CLEF 2024. The team members are students enrolled in the Computer Engineering master's program at the University of Padua. The team developed an information retrieval system which is then used to perform queries on a corpus of documents in French language, or in their translated English version.
2024
Inglese
Inglese
CEUR Workshop Proceedings
3740
2314
2335
22
CEUR-WS
25th Working Notes of the Conference and Labs of the Evaluation Forum, CLEF 2024
2024
fra
CLEF; Documents Retrieval; Information Retrieval; LongEval 2024; Reranking; Search Engine; Temporal Persistence; Word Embeddings
no
273
Basaglia, A.; Stocco, A.; Popovic, M.; Ferro, N.
4
none
info:eu-repo/semantics/conferenceObject
04 CONTRIBUTO IN ATTO DI CONVEGNO::04.01 - Contributo in atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3524155
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