An activity theory investigation of academic abstract sentence classification

Connor Stead, Stephen Smith, Peter Busch, Savanid Vatanasakdakul, Vincent Pang

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

Abstract

This research aims to extend activity theory into the domain of structured abstracts through the examination of the mediating role a software tool providing academic abstract sentence classification capability plays in academic researcher literature discovery. This is motivated by the surge of digitally available academic literature, the high precision of academic abstract sentence classification machine/deep learning models and the absence of literature exploring the deployment of such modelling capability into a tool and its subsequent use to conduct research. This research in progress paper outlines the methodology used, introduces the theoretical framework and software tool and identifies ongoing and future research efforts.
Original languageEnglish
Title of host publication24th Pacific Asia Conference on Information Systems (PACIS)
Place of PublicationAtlanta, GA
PublisherAssociation for Information Systems
Pages1-8
Number of pages8
Publication statusPublished - 2020
EventPacific Asia Conference on Information Systems (24th : 2020) - Virtual, Dubai, United Arab Emirates
Duration: 20 Jun 202024 Jun 2020
http://www.pacis2020.org

Conference

ConferencePacific Asia Conference on Information Systems (24th : 2020)
Abbreviated titlePACIS 2020
CountryUnited Arab Emirates
CityDubai
Period20/06/2024/06/20
Internet address

Keywords

  • Abstracts
  • structured abstracts
  • sentence classification
  • activity theory

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    Stead, C., Smith, S., Busch, P., Vatanasakdakul, S., & Pang, V. (2020). An activity theory investigation of academic abstract sentence classification. In 24th Pacific Asia Conference on Information Systems (PACIS) (pp. 1-8). Atlanta, GA: Association for Information Systems.