Web as Corpus Supporting Natural Language Generation for Online River Information Communication

被引：0
|
作者：
Han, Xiwu [1 ]
Ioris, Antonio A. R. [2 ]
Lin, Chenghua [1 ]
机构：
[1] Univ Aberdeen, Dept Comp Sci, Aberdeen, Scotland
[2] Univ Edinburgh, Sch Geosci, Edinburgh, Midlothian, Scotland
来源：
WWW'15 COMPANION: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB | 2015年
关键词：
Web; Corpus; NLP; NLG; river information communication;
D O I：
10.1145/2740908.2745938
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Web as corpus for NLP has been popular, and we now employed web as corpus for NLG, and made the online communication of tailored river information more effective and efficient. Evaluation and analysis shows that our generated texts were comparable to those written by domain experts and experienced users.
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页码：363 / 364
页数：2
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