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DCU@INEX-2012: exploring sentence retrieval for tweet contextualization

Ganguly, Debasis orcid logoORCID: 0000-0003-0050-7138, Leveling, Johannes orcid logoORCID: 0000-0003-0603-4191 and Jones, Gareth J.F. orcid logoORCID: 0000-0003-2923-8365 (2012) DCU@INEX-2012: exploring sentence retrieval for tweet contextualization. In: INEX 2012 workshop, 17-20 Sept 2012, Rome, Italy.

Abstract
For the participation of Dublin City University (DCU) in the INEX-2012 tweet contextualization task, we investigated sentence retrieval methodologies. The task requires providing the context to an ad-hoc real-life tweet. This context is to be constructed from Wikipedia articles. Our approach involves indexing the passages in Wikipedia articles as separate retrievable units, extracting sentences from the top ranked passages, computing the sentence selection score for each such sentence with respect to the query, and then returning the top most similar ones. The simple sentence selection strategy performed quite well in the task. Our best run has ranked rst from the readability perspective and ranked eighth as ordered by informativeness out of 33 ocial runs.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:No
Uncontrolled Keywords:Tweet contextualization; Sentence retrieval
Subjects:Computer Science > Information storage and retrieval systems
Computer Science > Information retrieval
DCU Faculties and Centres:Research Institutes and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: pre-Proceedings of INEX'12. .
Official URL:https://inex.mmci.uni-saarland.de
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:19984
Deposited On:16 Jun 2014 12:36 by Gareth Jones . Last Modified 25 Oct 2018 09:58
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