Summary of the paper
| Title | Creating a Data Collection for Evaluating Rich Speech Retrieval |
|---|---|
| Authors | Maria Eskevich, Gareth J.F. Jones, Martha Larson and Roeland Ordelman |
| Abstract | 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. |
| Topics | Speech resource/database, Multimedia Document Processing, Information Extraction, Information Retrieval |
Full paper  |
Creating a Data Collection for Evaluating Rich Speech Retrieval |
| Bibtex | @InProceedings{ESKEVICH12.910, author = {Maria Eskevich and Gareth J.F. Jones and Martha Larson and Roeland Ordelman}, title = {Creating a Data Collection for Evaluating Rich Speech Retrieval}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |