Search Engines play important roles in helping users to rapidly retrieve relevant information. The technology underlying Search Engines has been improved in the last years, both in terms of hardware capabilities and in terms of software. However, they are still affected by many issues due to the continuously growing amount of data and the various forms in which it comes. In this paper we discuss our solution to the Information Retrieval problem proposed by the CLEF 2022 Touché Task 1. We first describe in general the considered problem and subsequently present our Information Retrieval System implemented through Apache Lucene illustrating the various phases and methods applied to fulfil the objectives of the task. Eventually, we provide the obtained experimental results and possible explanations for them. In particular, we investigate the reasons for which some methods performed worse than others and describe possible ways to improve the system in the future.

SEUPD@CLEF: Team INTSEG on Argument Retrieval for Controversial Questions

Pasin A.;Ferro N.
2022

Abstract

Search Engines play important roles in helping users to rapidly retrieve relevant information. The technology underlying Search Engines has been improved in the last years, both in terms of hardware capabilities and in terms of software. However, they are still affected by many issues due to the continuously growing amount of data and the various forms in which it comes. In this paper we discuss our solution to the Information Retrieval problem proposed by the CLEF 2022 Touché Task 1. We first describe in general the considered problem and subsequently present our Information Retrieval System implemented through Apache Lucene illustrating the various phases and methods applied to fulfil the objectives of the task. Eventually, we provide the obtained experimental results and possible explanations for them. In particular, we investigate the reasons for which some methods performed worse than others and describe possible ways to improve the system in the future.
2022
CLEF 2022 Working Notes
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3464719
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