Visual analytics of academic writing

Simsek, D; Shum, SB; De Liddo, A; Ferguson, R; Sándor, A

Visual analytics of academic writing

Simsek, D Shum, SB

De Liddo, A Ferguson, R Sándor, A

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Publication Type:: Conference Proceeding
Citation:: ACM International Conference Proceeding Series, 2014, pp. 265 - 266
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Simsek, D	en_US
dc.contributor.author	Shum, SB https://orcid.org/0000-0002-6334-7429	en_US
dc.contributor.author	De Liddo, A	en_US
dc.contributor.author	Ferguson, R	en_US
dc.contributor.author	Sándor, A	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	ACM International Conference Proceeding Series, 2014, pp. 265 - 266	en_US
dc.identifier.isbn	1595930361	en_US
dc.identifier.isbn	9781595930361	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121289
dc.description.abstract	This paper describes a novel analytics dashboard which visualises the key features of scholarly documents. The Dashboard aggregates the salient sentences of scholarly papers, their rhetorical types and the key concepts mentioned within these sentences. These features are extracted from papers through a Natural Language Processing (NLP) technology, called Xerox Incremental Parser (XIP). The XIP Dashboard is a set of visual analytics modules based on the XIP output. In this paper, we briefly introduce the XIP technology and demonstrate an example visualisation of the XIP Dashboard. Copyright © 2014 by the Association for Computing Machinery, Inc.	en_US
dc.relation.ispartof	ACM International Conference Proceeding Series	en_US
dc.relation.isbasedon	10.1145/2567574.2567577	en_US
dc.title	Visual analytics of academic writing	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
utslib.for	1203 Design Practice and Management	en_US
utslib.for	1302 Curriculum and Pedagogy	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)/Connected Intelligence Centre
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

This paper describes a novel analytics dashboard which visualises the key features of scholarly documents. The Dashboard aggregates the salient sentences of scholarly papers, their rhetorical types and the key concepts mentioned within these sentences. These features are extracted from papers through a Natural Language Processing (NLP) technology, called Xerox Incremental Parser (XIP). The XIP Dashboard is a set of visual analytics modules based on the XIP output. In this paper, we briefly introduce the XIP technology and demonstrate an example visualisation of the XIP Dashboard. Copyright © 2014 by the Association for Computing Machinery, Inc.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/121289