A Meta-analysis of Semantic Classification of Citations

Kunnath, Suchetha N.; Herrmannova, Drahomira; Pride, David and Knoth, Petr (2021). A Meta-analysis of Semantic Classification of Citations. Quantitative Science Studies (Early Access).

DOI: https://doi.org/10.1162/qss_a_00159

Abstract

The aim of this literature review is to examine the current state-of-the-art in the area of citation classification. In particular, we investigate the approaches for characterising citations based on their semantic type. We conduct this literature review as a metaanalysis covering 60 scholarly articles in this domain. Although we included some of the manual pioneering works in this review, more emphasis is given on the later automated methods, which use Machine Learning and Natural Language Processing (NLP) for analysing the fine-grained linguistic features in the surrounding text of citations. The sections are organised based on the steps involved in the pipeline for citation classification. Specifically, we explore the existing classification schemes, datasets, pre-processing methods, the extraction of contextual and non-contextual features and the different types of classifiers and evaluation approaches. The review highlights the importance of identifying the citation types for research evaluation, the challenges faced by the researchers in the process and the existing research gaps in this field.

Viewing alternatives

Download history

Metrics

Public Attention

Altmetrics from Altmetric

Number of Citations

Citations from Dimensions

Item Actions

Export

About

Recommendations