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Extrinsic summarization evaluation
2009
ACM Transactions on Speech and Language Processing
In this work we describe a large-scale extrinsic evaluation of automatic speech summarization technologies for meeting speech. The particular task is a decision audit, wherein a user must satisfy a complex information need, navigating several meetings in order to gain an understanding of how and why a given decision was made. We compare the usefulness of extractive and abstractive technologies in satisfying this information need, and assess the impact of automatic speech recognition (ASR)
doi:10.1145/1596517.1596518
dblp:journals/tslp/MurrayKPBRK09
fatcat:26cuwjxuwvcpnh5v3jewhk6uji