Landscaping Language Technologies using Topic Modeling and Graph Analysis: Overview of the Spanish Contribution

被引：0
作者：
Samy, Doaa [1 ,3 ,4 ]
Perez-Fernandez, David [1 ]
Arenas-Garcia, Jeronimo [1 ,2 ]
机构：
[1] Secretaria Estado Avance Digital, Madrid, Spain
[2] Univ Carlos III Madrid, Madrid, Spain
[3] IIC, Madrid, Spain
[4] Cairo Univ, Giza, Egypt
来源：
PROCESAMIENTO DEL LENGUAJE NATURAL | 2019年 / 63期
关键词：
Human Language Technologies; Topic Modeling; Latent Dirichlet Allocation (LDA); Louvain modularity algorithm; Natural Language Processing;
D O I：
10.26342/2019-63-14
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper aims at landscaping the Human Language Technologies (HLT) sector by applying topic modeling and graph analysis to study the scientific literature in ACL Anthology with special emphasis on the Spanish participation. The analysis takes into account the structured and unstructured data to offer an overview of the HLT landscape in Spain identifying main underlying themes and its evolution in the last years compared to the international HLT community. Results obtained are represented through an interactive visualization to allow the exploration of the HLT landscape in the time frame 1983-2018.
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收藏
页码：129 / 136
页数：8
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