This paper presents an overview of our on-going work on dialogueact 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.
|Publisher||IEEE Computer Society|
|Workshop||First International IEEE Workshop on Spoken Language Technology, SLT 2006|
|Period||10/12/06 → 13/12/06|
|Other||10-13 December 2006|
- EC Grant Agreement nr.: FP6/506811
- HMI-CI: Computational Intelligence