NLP and Large-Scale Information Retrieval on Mathematical Texts

被引：1
|
作者：
Dong, Yihe [1 ]
机构：
[1] Wolfram Res, Champaign, IL 61820 USA
来源：
MATHEMATICAL SOFTWARE - ICMS 2018 | 2018年 / 10931卷
关键词：
NLP; Information retrieval;
D O I：
10.1007/978-3-319-96418-8_19
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We present a recommender system covering math and math physics papers from the arXiv, to assist researchers to quickly retrieve theorems and discover similar results from this vast corpus. The retrieval aims to discover not just syntactic, but also semantic similarity. We will discuss the challenges encountered and the experimental methodologies used.
引用
收藏
页码：156 / 164
页数：9
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