Can models of author intention support quality assessment of content?

A.J. Casey, B. Webber, Dorota Glowacka

Forskningsoutput: TidskriftsbidragKonferensartikelVetenskapligPeer review

Sammanfattning

Academics seek to find, understand and critically review the work of other researchers through published scientific articles. In recent years, the volume of available information has significantly increased, partly due to technological advancements and partly due to pressures on academics to 'publish or perish'. This amount of papers presents a challenge not only for the peer-review process but also for readers, particularly inexperienced readers, to find publications of high quality. Whilst one might rely on citation or journal rankings to help guide this decision, this approach may not be completely reliable due to biased peer-review processes and the fact that the citation count of an article does not per se indicate its quality. Here, we analyse how expected author intentions in a Related Work section can be used to indicate its quality. We show that author intentions can predict the quality with reasonable accuracy and propose that similar approaches could be used in other sections to provide an overall picture of quality. This approach could be useful in supporting peer-review processes and for a reader in prioritising articles to read. © 2019 CEUR-WS. All rights reserved.
Originalspråkengelska
TidskriftCEUR Workshop Proceedings
Volym2414
Sidor (från-till)92-99
Antal sidor8
ISSN1613-0073
StatusPublicerad - 2019
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangJoint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries co with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) - Paris, Frankrike
Varaktighet: 25 jul 201925 jul 2019
Konferensnummer: 4

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