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Generating Contrastive Snippets for Argument Search

verfasst von
Milad Alshomary, Jonas Rieskamp, Henning Wachsmuth
Abstract

In argument search, snippets provide an overview of the aspects discussed by the arguments retrieved for a queried controversial topic. Existing work has focused on generating snippets that are representative of an argument's content while remaining argumentative. In this work, we argue that the snippets should also be contrastive, that is, they should highlight the aspects that make an argument unique in the context of others. Thereby, aspect diversity is increased and redundancy is reduced. We present and compare two snippet generation approaches that jointly optimize representativeness and contrastiveness. According to our experiments, both approaches have advantages, and one is able to generate representative yet sufficiently contrastive snippets.

Externe Organisation(en)
Universität Paderborn
Typ
Aufsatz in Konferenzband
Seiten
21-31
Anzahl der Seiten
11
Publikationsdatum
09.2022
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Artificial intelligence
Elektronische Version(en)
https://doi.org/10.3233/FAIA220138 (Zugang: Offen)