Big Data and Named Entity Recognition Approaches for Urdu Language

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 ess...

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Bibliographic Details
Published in:EAI endorsed transactions on scalable information systems 2018-04, Vol.5 (16), p.154469-5
Main Authors: Jamil, Qudsia, Rehman Zafar, Muhammad
Format: Article
Language:English
Subjects:
Big Data
Data management
Information retrieval
Language
Morphology
Named Entity Recognition
Natural language processing
Natural Language Processing(NLP)
Recognition
Unstructured data
Urdu language
Urdu Text Processing
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Summary: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.
ISSN:2032-9407
2032-9407
DOI:10.4108/eai.13-4-2018.154469