Automatic classification of citation function by new linguistic features

Meng, Rui; Lu, Wei; Chi, Yu; Han, Shuguang

Permalink

https://hdl.handle.net/2142/96730 Copy

Description

Title

Automatic classification of citation function by new linguistic features

Author(s)

• Meng, Rui
• Lu, Wei
• Chi, Yu
• Han, Shuguang

Issue Date

2017

Keyword(s)

• Citation function
• Citation function classification
• Citation analysis
• Citation content
• Natural language processing

Abstract

Citation function presents the functional role of a reference in its citing article. These functional information enrich the citation analysis in a semantic perspective and can be used for improving the applications of citation analysis. Though many works on automatic classification have been done, the performance of existing studies cannot satisfy the requirement of analysis on large-scale academic data. In order to overcome the performance bottleneck, in this poster we present some useful features by analyzing and finding unique linguistic patterns in citation context. Our experiments on existing dataset shows the effectiveness of these new features with Support Vector Machine. The performance reaches 86.54% accuracy and a macro F-score of 0.795, which gains an improvement over 20% than previous study on the same dataset.

Publisher

iSchools

Series/Report Name or Number

iConference 2017 Proceedings

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/96730

Copyright and License Information

Copyright 2017 Rui Meng, Wei Lu, Yu Chi, and Shuguang Han

Owning Collections