Atlas.txt : Linking Geo-referenced Data to Text for NLG

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Studying the Impact of Filling Information Gaps on the Output Quality of Neural Data-to-Text

Acknowledgments We would like to thank our reviewers for their insightful feedback and questions. The work presented here is partially funded by the Engineering and Physical Sciences Research Council (EPSRC), which funds Craig Thomson under a National Productivity Investment Fund Doctoral Studentship (EP/R512412/1).Peer reviewedPublisher PD

Enabling Access to Geo-referenced Information : Atlas.txt

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Determining Content for Unknown Users : Lessons from the MinkApp Case Study

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