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Nutri-bullets: Summarizing Health Studies by Composing Segments

2021-03-22Code Available0· sign in to hype

Darsh J Shah, Lili Yu, Tao Lei, Regina Barzilay

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Abstract

We introduce Nutri-bullets, a multi-document summarization task for health and nutrition. First, we present two datasets of food and health summaries from multiple scientific studies. Furthermore, we propose a novel extract-compose model to solve the problem in the regime of limited parallel data. We explicitly select key spans from several abstracts using a policy network, followed by composing the selected spans to present a summary via a task specific language model. Compared to state-of-the-art methods, our approach leads to more faithful, relevant and diverse summarization -- properties imperative to this application. For instance, on the BreastCancer dataset our approach gets a more than 50\% improvement on relevance and faithfulness.Our code and data is available at https://github.com/darsh10/Nutribullets.

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