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- W2785682779 abstract "Many data-to-text NLG systems work with data sets which are incomplete, ie some of the data is missing. We have worked with data journalists to understand how they describe incomplete data, and are building NLG algorithms based on these insights. A pilot evaluation showed mixed results, and highlighted several areas where we need to improve our system." @default.
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- W2785682779 date "2017-01-01" @default.
- W2785682779 modified "2023-09-25" @default.
- W2785682779 title "Textually Summarising Incomplete Data" @default.
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- W2785682779 doi "https://doi.org/10.18653/v1/w17-3535" @default.
- W2785682779 hasPublicationYear "2017" @default.
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