title: Creating a data collection for evaluating rich speech retrieval
creator: Eskevich, Maria
creator: Jones, Gareth J.F.
creator: Larson, Martha
creator: Ordelman, Roeland
subject: Multimedia systems
subject: Information retrieval
subject: Speech Search; Speech Collection Creation; Speech Retrieval; Crowdsourcing
description: We describe the development of a test collection for the investigation of speech retrieval beyond identification of relevant content. This collection focuses on satisfying user information needs for queries associated with specific types of speech acts. The collection is based on an archive of the Internet video from Internet video sharing platform (blip.tv), and was provided by the MediaEval benchmarking initiative. A crowdsourcing approach was used to identify segments in the video data which contain speech acts, to create a description of the video containing the act and to generate search queries designed to refind this speech act. We describe and reflect on our experiences with crowdsourcing this test collection using the Amazon Mechanical Turk platform. We highlight the challenges of constructing this dataset, including the selection of the data source, design of the crowdsouring task and the specification of queries and relevant items.
date: 2012-05-21
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
relation: http://doras.dcu.ie/16901/1/LREC_2012v2.pdf
relation: http://www.lrec-conf.org/lrec2012/
identifier: http://doras.dcu.ie/16901/
source: Eskevich, Maria and Jones, Gareth J.F. and Larson, Martha and Ordelman, Roeland (2012) Creating a data collection for evaluating rich speech retrieval. In: The Eighth international conference on Language Resources and Evaluation (LREC) 2012 , 21-27 May 2012, Istanbul, Turkey.
rights: This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License.