An activity theory investigation of academic abstract sentence classification

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

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 proceeding › Conference 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 language	English
Title of host publication	24th Pacific Asia Conference on Information Systems (PACIS)
Place of Publication	Atlanta, GA
Publisher	Association for Information Systems
Pages	1-8
Number of pages	8
Publication status	Published - 2020
Event	24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020 - Dubai, United Arab Emirates Duration: 20 Jun 2020 → 24 Jun 2020

Conference

Conference	24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020
Country	United Arab Emirates
City	Dubai
Period	20/06/20 → 24/06/20

Keywords

Abstracts
structured abstracts
sentence classification
activity theory

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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.",

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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). Association for Information Systems, Atlanta, GA, pp. 1-8, 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020, Dubai, United Arab Emirates, 20/06/20.

An activity theory investigation of academic abstract sentence classification. / Stead, Connor ; Smith, Stephen ; Busch, Peter; Vatanasakdakul, Savanid; Pang, Vincent.

24th Pacific Asia Conference on Information Systems (PACIS). Atlanta, GA : Association for Information Systems, 2020. p. 1-8.

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

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