When science journalism meets artificial intelligence : An interactive demonstration

Conference on Empirical Methods in Natural Language Processing (EMNLP) demo track

Published October 31, 2018

Raghuram Vadapalli, Bhaktiyar Syed, Nishanth Prabhu, Balaji Vasan Srinivasan, Vasudeva Varma

We present an online interactive tool that generates titles of blog titles and thus take the first step toward automating science journalism. Science journalism aims to transform jargon-laden scientific articles into a form that the common reader can comprehend while ensuring that the underlying meaning of the article is retained. In this work, we present a tool, which, given the title and abstract of a research paper will generate a blog title by mimicking a human science journalist. The tool makes use of a model trained on a corpus of 87,328 pairs of research papers and their corresponding blogs, built from two science news aggregators. The architecture of the model is a two-stage mechanism which generates blog titles. Evaluation using standard metrics indicate the viability of the proposed system.

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