Abstract
Abstract sentence classification modelling has the potential to advance literature discovery capability for the array of academic literature information systems, however, no artefact exists that categorises known models and identifies their key dimensions and characteristics.
Aims: To systematically categorise known abstract sentence classification models and make this knowledge readily available to future researchers and professionals concerned with model development and deployment.
Method: An information systems taxonomy development methodology was adopted to after a literature review to categorise 23 abstract sentence classification models identified from the literature. Dimensions and corresponding characteristics were derived from this process with the resulting taxonomy presented.
Results: Abstract sentence classification modelling has evolved significantly with state of the art models now leveraging neural networks to achieve high performance sentence classification. The resulting taxonomy provides a novel means to observe the development of this research field and enables information systems researchers to consider how such models can be deployed and their capability utilised.
Aims: To systematically categorise known abstract sentence classification models and make this knowledge readily available to future researchers and professionals concerned with model development and deployment.
Method: An information systems taxonomy development methodology was adopted to after a literature review to categorise 23 abstract sentence classification models identified from the literature. Dimensions and corresponding characteristics were derived from this process with the resulting taxonomy presented.
Results: Abstract sentence classification modelling has evolved significantly with state of the art models now leveraging neural networks to achieve high performance sentence classification. The resulting taxonomy provides a novel means to observe the development of this research field and enables information systems researchers to consider how such models can be deployed and their capability utilised.
Original language | English |
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Title of host publication | ITAIS 2021 XVIII Conference of the Italian Chapter of AIS |
Subtitle of host publication | Digital resilience and sustainability: people, organizations, and society |
Place of Publication | Atlanta, GA |
Publisher | Association for Information Systems |
Pages | 1-14 |
Number of pages | 14 |
Publication status | Published - 2021 |
Event | ITAIS 2021 - XVIII Conference of the Italian Chapter of AIS: Digital resilience and sustainability: people, organizations, and society - University of Trento, Trento, Italy Duration: 15 Oct 2021 → 16 Oct 2021 Conference number: 18 http://www.itais.org/conference/2021/ |
Conference
Conference | ITAIS 2021 - XVIII Conference of the Italian Chapter of AIS |
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Country/Territory | Italy |
City | Trento |
Period | 15/10/21 → 16/10/21 |
Internet address |
Keywords
- Abstract sentence classification modelling
- Taxonomy
- CLASSIFICATION
- Design science