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• W2892472836 abstract "Language-modeling--based approaches to story plot generation attempt to construct a plot by sampling from a language model (LM) to predict the next character, word, or sentence to add to the story. LM techniques lack the ability to receive guidance from the user to achieve a specific goal, resulting in stories that don't have a clear sense of progression and lack coherence. We present a reward-shaping technique that analyzes a story corpus and produces intermediate rewards that are backpropagated into a pre-trained LM in order to guide the model towards a given goal. Automated evaluations show our technique can create a model that generates story plots which consistently achieve a specified goal. Human-subject studies show that the generated stories have more plausible event ordering than baseline plot generation techniques." @default.
• W2892472836 created "2018-10-05" @default.
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• W2892472836 date "2018-09-27" @default.
• W2892472836 modified "2023-09-27" @default.
• W2892472836 title "Controllable Neural Story Generation via Reinforcement Learning." @default.
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• W2892472836 hasPublicationYear "2018" @default.
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