A survey on relation extraction for Urdu language

Author

Abdul Hafeez Adam

Degree

Master of Science in Computer Science

Department

Department of Computer Science

Faculty / School

Faculty of Computer Sciences (FCS)

Date of Submission

2019-12-31

Supervisor

Dr. Muhammad Sarim, Visiting Faculty, Department of Computer Science

Document type

MSCS Survey Report

Keywords

Natural Language Processing, Programming languages (Electronic computers)

Abstract

Relation extraction is a domain of Natural Language Processing that is focused on finding semantic relationships between entities that lead to information gathering and presentation. It is based on machine learning models that are supervised, semi-supervised and unsupervised and have been successful for many languages such as English, Chinese, and Italian, etc. Urdu, due to its complex nature, has not been researched extensively and it is very little REdone. The focus of this research survey is to elaborate upon relation extraction mechanisms and estimate the success of various models for various languages. Also, to study the current research on the Urdu Language, the challenges faced and systems developed.

Recommended Citation

Adam, A. H. (2019). A survey on relation extraction for Urdu language (Unpublished MSCS survey report). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/survey-reports-mscs/54