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.
@article{arxiv.1803.11359,
title = {Automatic Generation of Chinese Short Product Titles for Mobile Display},
author = {Yu Gong and Xusheng Luo and Kenny Q. Zhu and Wenwu Ou and Zhao Li and Lu Duan},
journal= {arXiv preprint arXiv:1803.11359},
year = {2019}
}