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.V33I01.33019460Markdown
[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.V33I01.33019460BibTeX
@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/}
}