Automatic Generation of Chinese Short Product Titles for Mobile Display

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.

Cite

Text

Gong et al. "Automatic Generation of Chinese Short Product Titles for Mobile Display." AAAI Conference on Artificial Intelligence, 2019. doi:10.1609/AAAI.V33I01.33019460

Markdown

[Gong et al. "Automatic Generation of Chinese Short Product Titles for Mobile Display." AAAI Conference on Artificial Intelligence, 2019.](https://mlanthology.org/aaai/2019/gong2019aaai-automatic/) doi:10.1609/AAAI.V33I01.33019460

BibTeX

@inproceedings{gong2019aaai-automatic,
  title     = {{Automatic Generation of Chinese Short Product Titles for Mobile Display}},
  author    = {Gong, Yu and Luo, Xusheng and Zhu, Kenny Q. and Ou, Wenwu and Li, Zhao and Duan, Lu},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2019},
  pages     = {9460-9465},
  doi       = {10.1609/AAAI.V33I01.33019460},
  url       = {https://mlanthology.org/aaai/2019/gong2019aaai-automatic/}
}