EUROSPEECH 2001 Scandinavia
This paper describes experiments in improving word confidence estimation using document- and task-level features of the hypothesized word sequence from a recognizer. The improved confidence estimates are shown to improve information extraction performance, specifically named entity (NE) recognition. The detected names can then be used to further improve confidence estimation in a multi-pass NE recognition framework.
Bibliographic reference. Palmer, David D. / Ostendorf, Mari (2001): "Improved word confidence estimation using long range features", In EUROSPEECH-2001, 2117-2120.