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Creators/Authors contains: "Drissi, Mehdi"

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  1. ; (, International Conference on Natural Language Processing)
    Many challenges in natural language pro- cessing require generating text, including language translation, dialogue generation, and speech recognition. For all of these problems, text generation becomes more difficult as the text becomes longer. Cur- rent language models often struggle to keep track of coherence for long pieces of text. Here, we attempt to have the model construct and use an outline of the text it generates to keep it focused. We find that the usage of an outline improves perplex- ity. We do not find that using the outline improves human evaluation over a simpler baseline, revealing a discrepancy in per- plexity and human perception. Similarly, hierarchical generation is not found to im- prove human evaluation scores. 
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    Accepted Manuscript Full Text Available