Automatic Generation of Chinese Short Product Titles for Mobile Display

TL;DR

This paper introduces a feature-enriched network model for automatically generating concise Chinese product titles from longer descriptions, improving summarization accuracy for mobile display in e-commerce.

Contribution

It proposes a novel extractive summarization model combining multiple features and provides a new dataset for e-commerce short text summarization.

Findings

Model outperforms baselines by 4.5%

Significant improvement in summarization accuracy

Dataset released for research community

Abstract

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.