Automatic Generation of Chinese Short Product Titles for Mobile Display

Authors

  • 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

DOI:

https://doi.org/10.1609/aaai.v33i01.33019460

Abstract

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.

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Published

2019-07-17

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. https://doi.org/10.1609/aaai.v33i01.33019460

Issue

Section

IAAI Technical Track: Emerging Papers