Files in this item

FilesDescriptionFormat

application/pdf

application/pdf3.49_353_Meng-A ... ew Linguistic Features.pdf (2MB)
(no description provided)PDF

Description

Title:Automatic classification of citation function by new linguistic features
Author(s):Meng, Rui; Lu, Wei; Chi, Yu; Han, Shuguang
Subject(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.
Issue Date:2017
Publisher:iSchools
Citation Info:Meng, R., Lu, W., Chi, Y., & Han, S. (2017). Automatic Classification of Citation Function by New Linguistic Features. In iConference 2017 Proceedings (pp. 826-830). https://doi.org/10.9776/17349
Series/Report:iConference 2017 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/96730
DOI:https://doi.org/10.9776/17349
Rights Information:Copyright 2017 Rui Meng, Wei Lu, Yu Chi, and Shuguang Han
Date Available in IDEALS:2017-07-27


This item appears in the following Collection(s)

Item Statistics