Automatic Generation of Chinese Short Product Titles for Mobile Display
This addresses the need for concise product titles in mobile e-commerce, though it is incremental as it builds on existing extractive summarization methods.
The paper tackles the problem of automatically generating short product titles from longer descriptions for mobile e-commerce displays, achieving a 4.5% improvement over baselines.
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.