@inproceedings{alzghool-inkpen-2008-combining,
title = "Combining Multiple Models for Speech Information Retrieval",
author = "Alzghool, Muath and
Inkpen, Diana",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Tapias, Daniel",
booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
month = may,
year = "2008",
address = "Marrakech, Morocco",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/45_paper.pdf",
abstract = "In this article we present a method for combining different information retrieval models in order to increase the retrieval performance in a Speech Information Retrieval task. The formulas for combining the models are tuned on training data. Then the system is evaluated on test data. The task is particularly difficult because the text collection is automatically transcribed spontaneous speech, with many recognition errors. Also, the topics are real information needs, difficult to satisfy. Information Retrieval systems are not able to obtain good results on this data set, except for the case when manual summaries are included.",
}
Markdown (Informal)
[Combining Multiple Models for Speech Information Retrieval](http://www.lrec-conf.org/proceedings/lrec2008/pdf/45_paper.pdf) (Alzghool & Inkpen, LREC 2008)
ACL