<div class="csl-bib-body">
<div class="csl-entry">El-Ebshihy, A., Ningtyas, A. M., Andersson, L., Piroi, F., & Rauber, A. (2022). A Platform for Argumentative Zoning Annotation and Scientific Summarization. In M. A. Hasan & L. Xiong (Eds.), <i>CIKM ’22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management</i> (pp. 4843–4847). Association for Computing Machinery (ACM). https://doi.org/10.1145/3511808.3557193</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/192520
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dc.description.abstract
Argumentative Zoning (AZ) is a tool to obtain informative summaries of scientific articles. Using AZ assumes the definition of the main rhetorical structure in scientific articles, which are, then, used for the summary creation. The unavailability of large AZ annotated benchmark datasets is a bottleneck to training AZ-based summarization algorithms. In this work, we present an annotation platform for an AZ that defines four categories (zones), Claim, Method, Result and Conclusion, that are used to label sentences selected from scientific articles. The proposed tool can be used both for collecting benchmark datasets, and to help the researchers to create their own sub-corpora.
en
dc.description.sponsorship
Wirtschaftsagentur Wien Ein Fonds der Stadt Wien
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dc.language.iso
en
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dc.subject
annotation
en
dc.subject
argumentative zoning
en
dc.subject
benchmark creation
en
dc.subject
scientific summarization
en
dc.title
A Platform for Argumentative Zoning Annotation and Scientific Summarization
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
University of Vienna, Austria
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dc.contributor.affiliation
University of Vienna, Austria
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dc.relation.isbn
978-1-4503-9236-5
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dc.description.startpage
4843
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dc.description.endpage
4847
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dc.relation.grantno
2241716
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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tuw.relation.publisher
Association for Computing Machinery (ACM)
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tuw.relation.publisherplace
New York
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tuw.project.title
Artificial Researcher in Science: Efficient Scientific Publication Mining
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tuw.researchTopic.id
I4
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tuw.researchTopic.id
C5
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tuw.researchTopic.id
C3
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tuw.researchTopic.name
Information Systems Engineering
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tuw.researchTopic.name
Computer Science Foundations
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tuw.researchTopic.name
Computational System Design
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tuw.researchTopic.value
25
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tuw.researchTopic.value
50
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tuw.researchTopic.value
25
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tuw.publication.orgunit
E194-04 - Forschungsbereich Data Science
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tuw.publisher.doi
10.1145/3511808.3557193
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dc.description.numberOfPages
5
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tuw.author.orcid
0000-0001-7584-6439
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tuw.author.orcid
0000-0002-9272-6225
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tuw.editor.orcid
0000-0002-1754-8721
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tuw.event.name
CIKM '22: 31st ACM International Conference on Information & Knowledge Management
en
tuw.event.startdate
17-10-2022
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tuw.event.enddate
21-10-2022
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tuw.event.online
Hybrid
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tuw.event.type
Event for scientific audience
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tuw.event.place
Atlanta
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tuw.event.country
US
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tuw.event.presenter
El-Ebshihy, Alaa
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tuw.presentation.online
Online
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tuw.event.track
Multi Track
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wb.sciencebranch
Informatik
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wb.sciencebranch
Wirtschaftswissenschaften
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
5020
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wb.sciencebranch.value
90
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wb.sciencebranch.value
10
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item.languageiso639-1
en
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item.openairetype
conference paper
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item.grantfulltext
none
-
item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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crisitem.author.dept
E194-01 - Forschungsbereich Software Engineering
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crisitem.author.dept
E194-04 - Forschungsbereich Data Science
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crisitem.author.dept
E188 - Institut für Softwaretechnik und Interaktive Systeme
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crisitem.author.dept
E058-06 - Fachbereich Zentrum für Forschungsdatenmanagement
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crisitem.author.dept
E194-04 - Forschungsbereich Data Science
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crisitem.author.orcid
0000-0001-7584-6439
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crisitem.author.orcid
0000-0002-9272-6225
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crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
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crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
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crisitem.author.parentorg
E180 - Fakultät für Informatik
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crisitem.author.parentorg
E058 - Forschungs-, Technologie- und Innovationssupport
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering