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Research on Automatic Recognition of Academic Citation Context
Received date: 2016-06-16
Revised date: 2016-08-15
Online published: 2016-09-05
[Purpose/significance] Citation content analysis can help to reveal the deep semantic influence of literature citation relations, and citation context identification as a basis for content analysis is particularly important. [Method/process] This paper reviews the latest development of researches of citation context and summarizes the deficiencies in citation context identification. Based on which five categories of citation context identification features are proposed. Besides, this paper also conducts an automatic identification experiment by utilizing text classification and sequence labeling. [Result/conclusion] A significant improvement over baseline method shows the effectiveness of our features. Besides, the text classification based SVM method performs better than the sequence labeling based CRF method.
Lei Shengwei , Chen Haihua , Huang Yong , Lu Wei . Research on Automatic Recognition of Academic Citation Context[J]. Library and Information Service, 2016 , 60(17) : 78 -87 . DOI: 10.13266/j.issn.0252-3116.2016.17.012
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