2020
DOI: 10.48550/arxiv.2012.04332
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Facts2Story: Controlling Text Generation by Key Facts

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

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 3 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?