Title

A Survey on relation extraction for Urdu language

Degree

Master of Science in Computer Science

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Date of Award

Fall 2019

Advisor/Supervisor

Dr. Muhammad Sarim.

Committee Member 1

Dr. Muhammad Sarim, Supervisor, Department of Computer Science, Institute of Business Administration (IBA), Karachi

Project Type

MSCS Survey Report

Access Type

Restricted Access

Keywords

Natural Language Processing, Programming languages (Electronic computers)

Subjects

Computer Science

Abstract / Summary

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.

Pages

1

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