Big Data and Named Entity Recognition Approaches for Urdu Language
DOI:
https://doi.org/10.4108/eai.13-4-2018.154469Keywords:
Big Data, Named Entity Recognition, Urdu Text Processing, Natural Language Processing(NLP)Abstract
Nowadays data is stored in digital form and Terabyte of data is generated on daily basis. It is difficult task to extract useful information from Big data efficiently. From unstructured text Information extraction is a technique which used to extract information. Named Entity Recognition (NER) is an essential component of information extraction in the field of Natural Language Processing (NLP). Further, Urdu language has various challenges to NER due to its agglutinative, inflectional nature and rich morphology. Therefore, NER systems for Urdu language are not mature yet due to lack of resources and ambiguities. This paper specifically addresses the different approaches to NER and explore the existing work for NER in Urdu language.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 EAI Endorsed Transactions on Scalable Information Systems
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
