Adapting QA Components to Mine Answers in Speech Transcripts.

Rui Wang; Günter Neumann

In: Carola Peters; et al.. Advances in Multilingual and Multimodal Information Retrieval Lecture Notes in Computer Science. Pages 410-413, LNCS, Vol. 5152, ISBN 978-3-540-85759-4, Springer, 2008.


The paper describes QAst-v1 a robust question answering system for answering factoid questions in manual and automatic transcriptions of speech. The system is an adaptation of our text–based crosslingual open–domain QA system that we used for the CLEF main tasks.


Book-qast-2008.pdf (pdf, 218 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence