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

Contributo in Atti di convegno
Data di Pubblicazione:
2022
Abstract:
This paper is the report of the work we have done for Argument Retrieval CLEF 2022 Touché Task 1 as Gamora team. Argument Retrieval CLEF 2022 Touché Task 1 focuses on the problem of retrieving and ranking relevant pairs of sentences from a collection of arguments for a given controversial questions. After an analysis of the structure and the possibilities of manipulating document data, we concentrated our work on query management, applying methods of query expansion, reduction, query boost to conclude with satisfactory results with the last two solutions listed. We came up with two systems, one based on a two-stage operation, double index and double search, and one based on sentence pair ranking based on its argumentative quality, assessed by a machine learning model.
Tipologia CRIS:
04.01 - Contributo in atti di convegno
Keywords:
Argument quality; Argument retrieval; Controversial questions; Information retrieval; Query boost; Query reduction;
Elenco autori:
Benetti, A.; De Togni, M.; Foti, G.; Lacini, R.; Matteazzi, A.; Sgarbossa, E.; Ferro, N.
Autori di Ateneo:
FERRO NICOLA
Link alla scheda completa:
https://www.research.unipd.it/handle/11577/3464722
Link al Full Text:
https://www.research.unipd.it//retrieve/handle/11577/3464722/853002/27597-143972-1-PB.pdf
Titolo del libro:
CLEF 2022 Working Notes
Pubblicato in:
CEUR WORKSHOP PROCEEDINGS
Journal
CEUR WORKSHOP PROCEEDINGS
Series
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