Automatic Generation of Chinese Short Product Titles for Mobile Display
Automatic Generation of Chinese Short Product Titles for Mobile Display
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DOI：
10.1609/aaai.v33i01.33019460
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发表时间：
2018-03
期刊：
影响因子：
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通讯作者：
Yu Gong;Xusheng Luo;Kenny Q. Zhu;Shichen Liu;Wenwu Ou
中科院分区：
文献类型：
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作者：
Yu Gong;Xusheng Luo;Kenny Q. Zhu;Shichen Liu;Wenwu Ou
本文研究的问题，自动提取一个简短的标题，从一个手动编写的电子商务产品的较长的描述显示在移动的设备。这是一个新的提取摘要问题的短文本输入，我们提出了一个特征丰富的网络模型，结合三个不同类别的功能并行。实验结果表明，我们的框架显着优于几个基线的大幅增益4.5%。此外，我们还为电子商务短文本生成了一个提取摘要数据集，并将其发布给研究社区。
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.