@inproceedings{moreau-etal-2010-evaluation,
title = "Evaluation Protocol and Tools for Question-Answering on Speech Transcripts",
author = "Moreau, Nicolas and
Hamon, Olivier and
Mostefa, Djamel and
Rosset, Sophie and
Galibert, Olivier and
Lamel, Lori and
Turmo, Jordi and
Comas, Pere R. and
Rosso, Paolo and
Buscaldi, Davide and
Choukri, Khalid",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Rosner, Mike and
Tapias, Daniel",
booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
month = may,
year = "2010",
address = "Valletta, Malta",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/372_Paper.pdf",
abstract = "Question Answering (QA) technology aims at providing relevant answers to natural language questions. Most Question Answering research has focused on mining document collections containing written texts to answer written questions. In addition to written sources, a large (and growing) amount of potentially interesting information appears in spoken documents, such as broadcast news, speeches, seminars, meetings or telephone conversations. The QAST track (Question-Answering on Speech Transcripts) was introduced in CLEF to investigate the problem of question answering in such audio documents. This paper describes in detail the evaluation protocol and tools designed and developed for the CLEF-QAST evaluation campaigns that have taken place between 2007 and 2009. We first remind the data, question sets, and submission procedures that were produced or set up during these three campaigns. As for the evaluation procedure, the interface that was developed to ease the assessors work is described. In addition, this paper introduces a methodology for a semi-automatic evaluation of QAST systems based on time slot comparisons. Finally, the QAST Evaluation Package 2007-2009 resulting from these evaluation campaigns is also introduced.",
}
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<abstract>Question Answering (QA) technology aims at providing relevant answers to natural language questions. Most Question Answering research has focused on mining document collections containing written texts to answer written questions. In addition to written sources, a large (and growing) amount of potentially interesting information appears in spoken documents, such as broadcast news, speeches, seminars, meetings or telephone conversations. The QAST track (Question-Answering on Speech Transcripts) was introduced in CLEF to investigate the problem of question answering in such audio documents. This paper describes in detail the evaluation protocol and tools designed and developed for the CLEF-QAST evaluation campaigns that have taken place between 2007 and 2009. We first remind the data, question sets, and submission procedures that were produced or set up during these three campaigns. As for the evaluation procedure, the interface that was developed to ease the assessors work is described. In addition, this paper introduces a methodology for a semi-automatic evaluation of QAST systems based on time slot comparisons. Finally, the QAST Evaluation Package 2007-2009 resulting from these evaluation campaigns is also introduced.</abstract>
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%0 Conference Proceedings
%T Evaluation Protocol and Tools for Question-Answering on Speech Transcripts
%A Moreau, Nicolas
%A Hamon, Olivier
%A Mostefa, Djamel
%A Rosset, Sophie
%A Galibert, Olivier
%A Lamel, Lori
%A Turmo, Jordi
%A Comas, Pere R.
%A Rosso, Paolo
%A Buscaldi, Davide
%A Choukri, Khalid
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Rosner, Mike
%Y Tapias, Daniel
%S Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10)
%D 2010
%8 May
%I European Language Resources Association (ELRA)
%C Valletta, Malta
%F moreau-etal-2010-evaluation
%X Question Answering (QA) technology aims at providing relevant answers to natural language questions. Most Question Answering research has focused on mining document collections containing written texts to answer written questions. In addition to written sources, a large (and growing) amount of potentially interesting information appears in spoken documents, such as broadcast news, speeches, seminars, meetings or telephone conversations. The QAST track (Question-Answering on Speech Transcripts) was introduced in CLEF to investigate the problem of question answering in such audio documents. This paper describes in detail the evaluation protocol and tools designed and developed for the CLEF-QAST evaluation campaigns that have taken place between 2007 and 2009. We first remind the data, question sets, and submission procedures that were produced or set up during these three campaigns. As for the evaluation procedure, the interface that was developed to ease the assessors work is described. In addition, this paper introduces a methodology for a semi-automatic evaluation of QAST systems based on time slot comparisons. Finally, the QAST Evaluation Package 2007-2009 resulting from these evaluation campaigns is also introduced.
%U http://www.lrec-conf.org/proceedings/lrec2010/pdf/372_Paper.pdf
Markdown (Informal)
[Evaluation Protocol and Tools for Question-Answering on Speech Transcripts](http://www.lrec-conf.org/proceedings/lrec2010/pdf/372_Paper.pdf) (Moreau et al., LREC 2010)
ACL
- Nicolas Moreau, Olivier Hamon, Djamel Mostefa, Sophie Rosset, Olivier Galibert, Lori Lamel, Jordi Turmo, Pere R. Comas, Paolo Rosso, Davide Buscaldi, and Khalid Choukri. 2010. Evaluation Protocol and Tools for Question-Answering on Speech Transcripts. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta. European Language Resources Association (ELRA).