Automatic Generation of Chinese Short Product Titles for Mobile Display


  • Yu Gong Alibaba Group
  • Xusheng Luo Alibaba Group
  • Kenny Q. Zhu Shanghai Jiao Tong University
  • Wenwu Ou Alibaba Group
  • Zhao Li Alibaba Group
  • Lu Duan Zhejiang Cainiao Supply Chain Management Co., Ltd



This paper studies the problem of automatically extracting a short title from a manually written longer description of Ecommerce 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 Ecommerce short texts and will release it to the research community.




How to Cite

Gong, Y., Luo, X., Zhu, K. Q., Ou, W., Li, Z., & Duan, L. (2019). Automatic Generation of Chinese Short Product Titles for Mobile Display. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9460-9465.



IAAI Technical Track: Emerging Papers