A study for extracting keywords from data with deep learning and suffix array
A study for extracting keywords from data with deep learning and suffix array
复制标题
利用深度学习和后缀数组从数据中提取关键词的研究
DOI：
10.1007/s11042-021-11762-7
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发表时间：
2022-01
影响因子：
3.6
通讯作者：
Ge Nong
中科院分区：
文献类型：
--
作者：
Wentao Xu;Ge Nong
While a suffix index built on a suffix array is capable of supporting full-text searches over any data, its search speed can be accelerated using a keyword index for the set of keywords extracted from data. We attempt to design a method for extracting keywords from data using deep learning and a suffix array in this article. In particular, the study starts with Chinese texts because many word segmentation results on Chinese are available for performance evaluation. A new method combining the use of a neural network and a suffix array of training data is proposed for Chinese word segmentation. The suffix array of training data is constructed to divide long sentences in the input text into short fragments for better word segmentation by our neural network method without a context window. Our experiments on the typical datasets reveal that the proposed method achieves encouraging results in terms of the precision, recall andscore compared to other existing advanced methods while avoiding the drawback of a context window. This study provides some helpful experience for designing a general solution to extract keywords from data using a suffix array.
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影响因子：
6.4
作者：
Chen, Yanping;Zheng, Qinghua;Chen, Ping
通讯作者：
Chen, Ping
DOI：
10.3115/v1/p15-1168
发表时间：
2015-07
期刊：
--
影响因子：
--
作者：
Xinchi Chen;Xipeng Qiu;Chenxi Zhu;Xuanjing Huang
通讯作者：
Xinchi Chen;Xipeng Qiu;Chenxi Zhu;Xuanjing Huang
DOI：
--
发表时间：
2014-02
期刊：
ArXiv
影响因子：
--
作者：
Yoav Goldberg;Omer Levy
通讯作者：
Yoav Goldberg;Omer Levy
影响因子：
2.9
作者：
Gers, FA;Schmidhuber, J;Cummins, F
通讯作者：
Cummins, F
影响因子：
64.8
作者：
RUMELHART, DE;HINTON, GE;WILLIAMS, RJ
通讯作者：
WILLIAMS, RJ