Finding expertise using online community dialogue and the Duality of Expertise

Niemann, Michael 2014, Finding expertise using online community dialogue and the Duality of Expertise, in ALTA 2014 : Proceedings of the 12th Annual Workshop of the Australasian Language Technology Association, Association for Computational Linguistics, Stroudsburg, Pa., pp. 69-78.

Attached Files
Name Description MIMEType Size Downloads

Title Finding expertise using online community dialogue and the Duality of Expertise
Author(s) Niemann, MichaelORCID iD for Niemann, Michael orcid.org/0000-0001-6278-7978
Conference name Australasian Language Technology Workshop. Annual Workshop (12th : 2014 : Melbourne, Victoria)
Conference location Melbourne, Australia
Conference dates 26 - 28 Nov. 2014
Title of proceedings ALTA 2014 : Proceedings of the 12th Annual Workshop of the Australasian Language Technology Association
Editor(s) Ferraro, Gabriela
Wan, Stephen
Publication date 2014
Start page 69
End page 78
Total pages 10
Publisher Association for Computational Linguistics
Place of publication Stroudsburg, Pa.
Keyword(s) social media
computational linguistics
expertise location
online communities
Summary The Duality of Expertise considers the “Expert” to be a social role dependent on an individual’s expertise claims and the opinion of their community towards those claims. These are the internal and externalaspects of a person’s expertise. My Expertise Model incorporates this duality in a process designed for expertise finding software in an online community forum. In this model, a posting’s term usage is evidence of expertise claims. The dialogue acts in replies to those postings are evidence of the community’s opinion. The model’s preprocessing element uses a bricolag of linguistic and IR tools and methods in a novel way to construct each author’s expertise profile. For any topic query, the profiles are ranked to determine the Community Topic Expert. A series of experiments demonstrate the advantage of utilising the Duality of Expertise when ranking experts rather than just the internal or external aspects of expertise.
ISSN 1834-7037
Language eng
Field of Research 080107 Natural Language Processing
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2014, ALTA
Persistent URL http://hdl.handle.net/10536/DRO/DU:30097525

Document type: Conference Paper
Collections: Faculty of Arts and Education
School of Communication and Creative Arts
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 114 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Mon, 03 Jul 2017, 16:03:28 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.