Hogan, Deirdre, Leveling, Johannes ORCID: 0000-0003-0603-4191, Wang, Hongyi, Ferguson, Paul and Gurrin, Cathal ORCID: 0000-0003-4395-7702 (2013) SMS normalisation, retrieval and out-of-domain detection approaches for SMS-based FAQ retrieval. In: FIRE 2011, 2-4 Dec 2011, Bombay (Mumbai), India. ISBN 978-3-642-40086-5
Abstract
This paper gives an overview of DCU’s participation in the
SMS-based FAQ Retrieval task at FIRE 2011. DCU submitted three
runs for monolingual English experiments. The approach consisted of
first transforming the noisy SMS queries into a normalised, corrected
form. The normalised queries were then used to retrieve a ranked list
of FAQs by combining the results from three different retrieval methods. Finally, using information from the retrieval results, out-of-domain
(OOD) queries were identified and tagged. The results of our best run
on the final test set were the highest of all 13 participating teams. Our
FIRE submission retrieved 70.2% in-domain query answers correctly and
85.6% identified out-of-domain queries correctly.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | Short Message Service; Retrieval Method; Query Term; Retrieval Result |
Subjects: | Computer Science > Machine translating |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL) |
Published in: | Multilingual Information Access in South Asian Languages. Lecture Notes in Computer Science (LNCS) 7536. Springer. ISBN 978-3-642-40086-5 |
Publisher: | Springer |
Official URL: | https://dx.doi.org/10.1007/978-3-642-40087-2_18 |
Copyright Information: | © 2013 Springer |
Funders: | Science Foundation Ireland (Grant 07/CE/I1142) |
ID Code: | 25868 |
Deposited On: | 20 May 2021 12:37 by Michael Scriney . Last Modified 20 May 2021 12:37 |
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