A Survey on relation extraction for Urdu language
Master of Science in Computer Science
Faculty / School
Faculty of Computer Sciences (FCS)
Department of Computer Science
Date of Award
Dr. Muhammad Sarim.
Committee Member 1
Dr. Muhammad Sarim, Supervisor, Department of Computer Science, Institute of Business Administration (IBA), Karachi
MSCS Survey Report
Natural Language Processing, Programming languages (Electronic computers)
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.
Adam, A. H. (2019). A Survey on relation extraction for Urdu language (Unpublished survey report). Retrieved from https://ir.iba.edu.pk/research-projects/22
The full text of this document is only accessible to authorized users.