University of Cambridge > Talks.cam > NLIP Seminar Series > Learning from Past: Bringing Planning Back to Neural Generators

Learning from Past: Bringing Planning Back to Neural Generators

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  • UserShashi Narayan (Google Research) World_link
  • ClockFriday 25 February 2022, 12:00-13:00
  • HouseVirtual (Zoom).

If you have a question about this talk, please contact Michael Schlichtkrull.

Traditional NLG systems in Reiter and Dale’s vision were inherently grounded and controllable, thanks to a planning stage which played a crucial role in ordering and structuring the information, and in grounding the generation of text to the plan. Modern neural generation systems have advanced NLG beyond our imagination, yet some of the most desired properties such as grounding and controllability have been lost and are still to be mastered. In this talk, I will discuss why we need to bring back planning to neural generation and to make generation systems more grounded, controllable, inspectable and trustworthy. I will present several pieces of evidence supporting this direction exploring existing work in data-to-text and story generation, and in summarization.

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This talk is part of the NLIP Seminar Series series.

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