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- W2741165618 abstract "The present paper introduces a new MultiLing text summary evaluation method. This method relies on machine learning approach which operates by combining multiple features to build models that predict the human score (overall responsiveness) of a new summary. We have tried several single and “ensemble learning” classifiers to build the best model. We have experimented our method in summary level evaluation where we evaluate each text summary separately. The correlation between built models and human score is better than the correlation between baselines and manual score." @default.
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- W2741165618 date "2017-01-01" @default.
- W2741165618 modified "2023-09-24" @default.
- W2741165618 title "Machine Learning Approach to Evaluate MultiLingual Summaries" @default.
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- W2741165618 doi "https://doi.org/10.18653/v1/w17-1007" @default.
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