1. A computer-implemented method for providing conditional maximum entropy modeling, comprising: constructing, by a computer processor, a conditional maximum entropy model; and incorporating, by the computer processor, an observation confidence score into the model to reduce an effect due to an uncertain observation; wherein: a candidate feature derived from a corpus of data is incorporated into the model based on a level of uncertainty regarding the feature; and a contribution of a less confident feature is reduced in proportion to the level of uncertainty regarding the less confident feature.