Paper Info
Title
Evaluation Protocol and Tools for Question-Answering on Speech Transcripts
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.
Year
Venue
Keywords
2010
LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
question answering
Field
DocType
Citations 
Broadcasting,Question answering,Information retrieval,Computer science,Speech recognition,Natural language,Natural language processing,Artificial intelligence,Clef
Conference
1
PageRank 
References 
Authors
0.40
6
11
Name
Order
Citations
PageRank
Nicolas Moreau11478.65
Olivier Hamon26516.95
Djamel Mostefa335935.40
Sophie Rosset439361.66
Olivier Galibert531430.03
L. Lamel62135361.63
Jordi Turmo730630.52
Pere Comas8464.25
paolo rosso91831188.74
Davide Buscaldi1043654.12
Khalid Choukri111100153.56