We partially train the parser based on rules. That entails finding patterns by the eye and making sure that the system also recognizes the pattern. Partially it is based on Machine Learning: we tell the machine what value is correct, feeds it a big set of data and the ML-model will find the patterns among the data. We operate continuous improvement every two weeks.
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