Learning to generate one-sentence biographies from Wikidata

Understand

We investigate the generation of one-sentence Wikipedia biographies from facts derived from Wikidata slot-value pairs.

• We train a recurrent neural network sequence-to-sequence model with attention to select facts and generate textual summaries.
• Our model incorporates a novel secondary objective that helps ensure it generates sentences that contain the input facts.
• The model achieves a BLEU score of 41, improving significantly upon the vanilla sequence-to-sequence model and scoring roughly twice that of a simple template baseline.