A Comprehensive Evaluation of Cue-Words based Features and In-text Citations based Features for Citation Classification
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 7
Abstract
Citation plays a vital role in the scientific community of evaluating the contributions of scientific authors. Citing sources delivers a measurable way of evaluating the impact factor of journals and authors and allows for the recognition of new research issues. Different techniques for classifying citations have been proposed. Citations that provide background knowledge in the citing document have been classified as non-important or incidental by previous researchers. Citations that extend previous work in the citing document are classified as important. The accuracy achieved by existing citation models is not much higher. Better features need to be included for accurate predictions. A hybrid approach would present all possible combinations of cue-words and in-text citation-based features for citation classifications.
Authors and Affiliations
Syed Jawad Hussain, Sohail Maqsood, NZ Jhanjhi, Azeem Khan, Mahadevan Supramaniam, Usman Ahmed
Keywords
Related Articles
- EP ID EP611269
- DOI 10.14569/IJACSA.2019.0100730
- Views 74
- Downloads 0
Dynamic Crypto Algorithm for Real-Time Applications DCA-RTA, Key Shifting
The need for fast and attack resistance crypto algorithm is challenging issue in the era of the revolution in the information and communication technologies. The previous works presented by the authors “Dynamic Crypto Al...
Secure Data Accumulation among Reliable Hops with Rest/Alert Scheduling in Wireless Sensor Networks
Wireless Sensor Networks (WSNs) are more inclined to attackers by outer sources. The total information must be secured to guarantee the uprightness and privacy. In sensor networks, the data collection and data accumulati...
Deep Learning based Computer Aided Diagnosis System for Breast Mammograms
In this paper, a framework has been presented by using a combination of deep Convolutional Neural Network (CNN) with Support Vector Machine (SVM). Proposed method first perform preprocessing to resize the image so that i...
An Adaptive Intrusion Detection Method for Wireless Sensor Networks
Current intrusion detection systems for Wireless Sensor Networks (WSNs) which are usually designed to detect a specific form of intrusion or only applied for one specific type of network structure has apparently restrict...
Implementation of Locally Weighted Projection Regression Network for Concurrency Control In Computer Aided Design
This paper presents implementation of locally weighted projection regression (LWPR) network method for concurrency control while developing dial of a fork using Autodesk inventor 2008. The LWPR learns the objects and the...