Abstract
This paper describes QAST, a pilot track of CLEF 2007 aimed at evaluating the task of Question Answering in Speech Transcripts. The paper summarizes the evaluation framework, the systems that participated and the results achieved. These results have shown that question answering technology can be useful to deal with spontaneous speech transcripts, so for manually transcribed speech as for automatically recognized speech. The loss in accuracy from dealing with manual transcripts to dealing with automatic ones implies that there is room for future reseach in this area. © 2008 Springer-Verlag Berlin Heidelberg.
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Turmo, J., Comas, P. R., Ayache, C., Mostefa, D., Rosset, S., & Lamel, L. (2008). Overview of QAST 2007. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5152 LNCS, pp. 249–256). Springer Verlag. https://doi.org/10.1007/978-3-540-85760-0_29
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