src/English/confidences/en_ConfidenceEstimator.cpp
/** These confidence metrics were hand-crafted based on Python scripts that
 *  analyzed the effect of various features and conditions on the system's
 *  precision.  See text/Projects/CVE/python/confidence
 *  in svn for the code that generated them.  In the long run, it would 
 *  probably be better to do this with trained machine learning models; 
 *  but this will do for now. It's tuned for English ACE, and may not work 
 *  well in other domains.
 */
These confidence metrics were hand-crafted based on Python scripts that
analyzed the effect of various features and conditions on the system's
precision.  See text/Projects/CVE/python/confidence
in svn for the code that generated them.  In the long run, it would
probably be better to do this with trained machine learning models;
but this will do for now. It's tuned for English ACE, and may not work
well in other domains.
These confidence metrics were hand - crafted based on Python scripts that analyzed the effect of various features and conditions on the system ' s precision . See text / Projects / CVE / python / confidence in svn for the code that generated them . In the long run it would probably be better to do this with trained machine learning models ; but this will do for now . It ' s tuned for English ACE and may not work well in other domains .
EnglishConfidenceEstimator::EnglishConfidenceEstimator() : _wordFeatures(0), _estimate_confidences(true) { 
	_estimate_confidences = ParamReader::getOptionalTrueFalseParamWithDefaultVal("estimate_confidences", false);
	_wordFeatures = IdFWordFeatures::build();
}
EnglishConfidenceEstimator :: EnglishConfidenceEstimator ( ) : _wordFeatures ( 0 ) , _estimate_confidences ( true ) { _estimate_confidences = ParamReader :: getOptionalTrueFalseParamWithDefaultVal ( " " , false ) ; _wordFeatures = IdFWordFeatures :: build ( ) ; }
These confidence metrics were hand-crafted based on Python scripts that
  analyzed the effect of various features and conditions on the system's
  precision.
These confidence metrics were hand - crafted based on Python scripts that analyzed the effect of various features and conditions on the system ' s precision .