Abstract:Recent advancements in self-attention neural network architectures have raised the bar for openended text generation. Yet, while current methods are capable of producing a coherent text which is several hundred words long, attaining control over the content that is being generated-as well as evaluating it-are still open questions. We propose a controlled generation task which is based on expanding a sequence of facts, expressed in natural language, into a longer narrative. We introduce human-based evaluation m… Show more
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