  This paper studies the problem of automatically extracting a short title from
a manually written longer description of E-commerce products for display on
mobile devices. It is a new extractive summarization problem on short text
inputs, for which we propose a feature-enriched network model, combining three
different categories of features in parallel. Experimental results show that
our framework significantly outperforms several baselines by a substantial gain
of 4.5%. Moreover, we produce an extractive summarization dataset for
E-commerce short texts and will release it to the research community.
