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DCU at the NTCIR-11 SpokenQuery&Doc task

Racca, David and Jones, Gareth J.F. orcid logoORCID: 0000-0002-4033-9135 (2014) DCU at the NTCIR-11 SpokenQuery&Doc task. In: NTCIR 11 Conference, 9-12 Dec 2014, Tokyo, Japan.

Abstract
We describe DCU's participation in the NTCIR-11 Spoken-Query&Document task. We participated in the spoken query spoken content retrieval (SQ-SCR) subtask by using the slide group segments as basic indexing and retrieval units. Our approach integrates normalised prosodic features into a standard BM25 weighting function to increase weights for terms that are prominent in speech. Text queries and relevance assessment data from the NTCIR-10 SpokenDoc-2 passage retrieval task were used to train the prosodic-based models. Evaluation results indicate that our prosodic-based retrieval models do not provide significant improvements over a text-based BM25 model, but suggest that they can be useful for certain queries.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Computational linguistics
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Proceedings of NTCIR 11. .
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:20381
Deposited On:15 Jan 2015 14:57 by Gareth Jones . Last Modified 31 May 2019 13:02
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