Abstract: Systems, devices, and techniques are disclosed for lossless summarization. Data that including indications of whether a text summary generated by a machine learning system from an input document includes correct answers to questions about the input document may be received. Weights associated with the questions about the input document may be received. A first vector may be generated from the indications in the data. A second vector may be generated from the weights. A dot product of the first vector and the second vector may be determined. A ratio of a word count of the text summary to the word count of the input document may be determined. A score for the text summary based on the dot product and the ratio may be determined. The machine learning system may be adjusted based on the score.

Abstract: Systems, devices, and techniques are disclosed for lossless summarization. Data that including indications of whether a text summary generated by a machine learning system from an input document includes correct answers to questions about the input document may be received. Weights associated with the questions about the input document may be received. A first vector may be generated from the indications in the data. A second vector may be generated from the weights. A dot product of the first vector and the second vector may be determined. A ratio of a word count of the text summary to the word count of the input document may be determined. A score for the text summary based on the dot product and the ratio may be determined. The machine learning system may be adjusted based on the score.