Dialogue-act tagging using smart feature selection; results on multiple corpora

Dialogue-act tagging using smart feature selection; results on multiple corpora

This paper presents an overview of our on-going work on dialogue-act classification. Results are presented on the ICSI, switchboard, and on a selection of the AMI corpus, setting a baseline for forthcoming research. For these corpora the best accuracy scores obtained are 89.27%, 65.68% and 59.76%, r...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Verbree, D., Rienks, R., Heylen, D.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Ambient intelligence
Assembly
Automatic speech recognition
Humans
Radio access networks
Tagging
Telephony
Testing
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Beschreibung
Zusammenfassung:This paper presents an overview of our on-going work on dialogue-act classification. Results are presented on the ICSI, switchboard, and on a selection of the AMI corpus, setting a baseline for forthcoming research. For these corpora the best accuracy scores obtained are 89.27%, 65.68% and 59.76%, respectively. We introduce a smart compression technique for feature selection and compare the performance from a subset of the AMI transcriptions with AMI-ASR output for the same subset.
DOI:10.1109/SLT.2006.326819