File Download
Supplementary

Conference Paper: Improving microblog retrieval from exterior corpus by automatically constructing a microblogging corpus

TitleImproving microblog retrieval from exterior corpus by automatically constructing a microblogging corpus
Authors
Issue Date2015
Citation
The 29th AAAI Conference on Artificial Intelligence (AAAI-15), Austin, TX., 25-30 January 2015. How to Cite?
AbstractA large-scale training corpus consisting of microblogs belonging to a desired category is important for highaccuracy microblog retrieval. Obtaining such a large-scale microblgging corpus manually is very time and laborconsuming. Therefore, some models for the automatic retrieval of microblogs from an exterior corpus have been proposed. However, these approaches may fail in considering microblog-specific features. To alleviate this issue, we propose a methodology that constructs a simulated microblogging corpus rather than directly building a model from the exterior corpus. The performance of our model is better since the microblog-special knowledge of the microblogging corpus is used in the end by the retrieval model. Experimental results on real-world microblogs demonstrate the superiority of our technique compared to the previous approaches.
Persistent Identifierhttp://hdl.handle.net/10722/213621

 

DC FieldValueLanguage
dc.contributor.authorTu, W-
dc.contributor.authorCheung, D-
dc.contributor.authorMamoulis, N-
dc.date.accessioned2015-08-07T03:46:16Z-
dc.date.available2015-08-07T03:46:16Z-
dc.date.issued2015-
dc.identifier.citationThe 29th AAAI Conference on Artificial Intelligence (AAAI-15), Austin, TX., 25-30 January 2015.-
dc.identifier.urihttp://hdl.handle.net/10722/213621-
dc.description.abstractA large-scale training corpus consisting of microblogs belonging to a desired category is important for highaccuracy microblog retrieval. Obtaining such a large-scale microblgging corpus manually is very time and laborconsuming. Therefore, some models for the automatic retrieval of microblogs from an exterior corpus have been proposed. However, these approaches may fail in considering microblog-specific features. To alleviate this issue, we propose a methodology that constructs a simulated microblogging corpus rather than directly building a model from the exterior corpus. The performance of our model is better since the microblog-special knowledge of the microblogging corpus is used in the end by the retrieval model. Experimental results on real-world microblogs demonstrate the superiority of our technique compared to the previous approaches.-
dc.languageeng-
dc.relation.ispartofAAAI Conference on Artificial Intelligence, AAAI-15-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleImproving microblog retrieval from exterior corpus by automatically constructing a microblogging corpus-
dc.typeConference_Paper-
dc.identifier.emailCheung, D: dcheung@cs.hku.hk-
dc.identifier.emailMamoulis, N: nikos@cs.hku.hk-
dc.identifier.authorityCheung, D=rp00101-
dc.identifier.authorityMamoulis, N=rp00155-
dc.description.naturepostprint-
dc.identifier.hkuros246256-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats