Akiba, Tomoyosi, Nishizaki, Hiromitsu, Nanjo, Hiroaki and Jones, Gareth J.F. ORCID: 0000-0003-2923-8365 (2016) Overview of the NTCIR-12 SpokenQuery&Doc-2 task. In: 12th NTCIR Conference on Evaluation of Information Access Technologies, 7-10 June 2016, Tokyo, Japan. ISBN 978-4-86049-071-3
Abstract
This paper presents an overview of the Spoken Query and
Spoken Document retrieval (SpokenQuery&Doc-2) task at
the NTCIR-12 Workshop. This task included spoken query
driven spoken content retrieval (SQ-SCR) and a spoken query
driven spoken term detection (SQ-STD) as the two subtasks. The paper describes details of each sub-task, the
data used, the creation of the speech recognition systems
used to create the transcripts, the design of the retrieval
test collections, the metrics used to evaluate the sub-tasks
and a summary of the results of submissions by the task
participants.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | NTCIR-12; spoken document retrieval; spoken queries; spoken content retrieval; spoken term detection; Algorithms; Experimentation; Performance |
Subjects: | UNSPECIFIED |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Initiatives and Centres > ADAPT |
Published in: | Kando, Noriko, Kishida, Kazuaki, Kato, Makoto P. and Yamamoto, Shuhei, (eds.) Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies. . National Institute of Informatics. ISBN 978-4-86049-071-3 |
Publisher: | National Institute of Informatics |
Official URL: | http://research.nii.ac.jp/ntcir/workshop/OnlinePro... |
Copyright Information: | © 2016 National Institute of Informatics |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | KAKENHI 25330130, 26282049, and 15K00254. |
ID Code: | 23377 |
Deposited On: | 29 May 2019 15:52 by Thomas Murtagh . Last Modified 31 Jul 2019 08:45 |
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