Harvesting Re-usable High-level Rules for Expository Dialogue Generation

This paper proposes a method for extracting high-level rules for expository dialogue generation. The rules are extracted from dialogues that have been authored by expert dialogue writers. We examine the rules that can be extracted by this method, focusing on whether different dialogues and authors exhibit different dialogue styles.

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