BOOSTING EXTRACTION ACCURACY BY HANDLING TRAINING DATA BIAS

摘要

Methods and apparatus are described for use with information extraction techniques based on sequential models. Additional statistics are maintained during inference and employed to boost the accuracy of the extraction algorithm and mitigate the effects of training bias.