Extraction and evaluation of knowledge entities from scientific documents: Eeke2020

Zhang, C; Mayr, P; Lu, W; Zhang, Y

Extraction and evaluation of knowledge entities from scientific documents: Eeke2020

Zhang, C Mayr, P Lu, W Zhang, Y

Permalink

Publisher:: ACM
Publication Type:: Conference Proceeding
Citation:: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2020, pp. 573-574
Issue Date:: 2020-08-01

Closed Access

	Filename	Description	Size
	3383583.3398504.pdf	Published version	814.23 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Zhang, C
dc.contributor.author	Mayr, P
dc.contributor.author	Lu, W
dc.contributor.author	Zhang, Y https://orcid.org/0000-0001-5263-5823
dc.date.accessioned	2021-04-11T20:06:35Z
dc.date.available	2021-04-11T20:06:35Z
dc.date.issued	2020-08-01
dc.identifier.citation	Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2020, pp. 573-574
dc.identifier.isbn	9781450375856
dc.identifier.issn	1552-5996
dc.identifier.uri	http://hdl.handle.net/10453/147999
dc.description.abstract	The goal of this workshop is to engage the related communities in open problems in the extraction and evaluation of knowledge entities from scientific documents. This workshop entitles this cuttingedge and cross-disciplinary direction Extraction and Evaluation of Knowledge Entity (EEKE), highlighting the development of intelligent methods for identifying knowledge claims in scientific documents, and promoting the application of knowledge entities. The website of this workshop is at: https://eeke2020.github.io/.
dc.language	en
dc.publisher	ACM
dc.relation.ispartof	Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
dc.relation.ispartof	JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020
dc.relation.isbasedon	10.1145/3383583.3398504
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Extraction and evaluation of knowledge entities from scientific documents: Eeke2020
dc.type	Conference Proceeding
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2021-04-11T20:06:34Z
pubs.publication-status	Published

Abstract:

The goal of this workshop is to engage the related communities in open problems in the extraction and evaluation of knowledge entities from scientific documents. This workshop entitles this cuttingedge and cross-disciplinary direction Extraction and Evaluation of Knowledge Entity (EEKE), highlighting the development of intelligent methods for identifying knowledge claims in scientific documents, and promoting the application of knowledge entities. The website of this workshop is at: https://eeke2020.github.io/.

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

http://hdl.handle.net/10453/147999