The cortical activity of graded relevance

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

Relevance is an essential concept in Information Retrieval (IR). Recent studies using brain imaging have significantly contributed towards the understanding of this concept, but only as a binary notion, i.e. a document being judged as relevant or non-relevant. While such a binary division is prevalent in IR, seminal theories have proposed relevance as a graded variable; i.e. having different degrees. In this paper, we aim to investigate the brain activity associated with relevance when it is treated as a graded concept. Twenty-five participants provided graded relevance judgements in the context of a Question Answering (Q/A) Task, during assessment with an electroencephalogram (EEG). Our findings show that significant differences in event-related potentials (ERPs) were observed in response to information segments processed in the context of high-relevance, low-relevance and no-relevance, supporting the concept of graded relevance. We speculate that differences in attentional engagement, semantic mismatch (between the question and answer) and memory processing underpin the electrophysiological responses to the graded relevance judgements. We believe our conclusions constitute an important step in unravelling the nature of graded relevance and knowledge of the electrophysiological modulation to each grade of relevance will help to improve the design and evaluation of IR systems.
Original languageEnglish
Title of host publicationSIGIR '20 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of PublicationNew York, NY.
Pages299–308
Number of pages10
ISBN (Electronic)9781450380164
DOIs
Publication statusPublished - 25 Jul 2020
EventThe 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020) - Xi'an, China
Duration: 25 Jul 202030 Jul 2020
Conference number: 43

Conference

ConferenceThe 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020)
Abbreviated titleSIGIR 2020
Country/TerritoryChina
CityXi'an
Period25/07/2030/07/20

Keywords

  • information retrieval
  • relevance judgement
  • graded relevance
  • binary relevance
  • brain signals
  • EEG
  • ERPs

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