DocumentCode :
3726862
Title :
Entity Recognition in Bengali language
Author :
Sujit Kumar Das;Sourish Dhar
Author_Institution :
Department of Information Technology, Assam University, Silchar, India
fYear :
2015
Firstpage :
157
Lastpage :
160
Abstract :
Entity Recognition concept came from NER system. In NER name specifics entities are detected from documents like name of city, state, Country, organization, person, location, sport, river, quantity etc. Whereas Entity Recognition detects all the entities presents in a documents to help the improvement of the performance of some high level NLP tasks like Question Answering, Auto Summarization, Machine Translation, Information Retrieval. In this paper our main objective is to perform Entity Recognition in Natural languages CRF. We will use POS tagging and Named entity Recognition with our own tag set to perform this task.
Keywords :
"Hidden Markov models","Organizations","Computational modeling","Computers"
Publisher :
ieee
Conference_Titel :
Advanced Computing and Communication (ISACC), 2015 International Symposium on
Print_ISBN :
978-1-4673-6707-3
Type :
conf
DOI :
10.1109/ISACC.2015.7377333
Filename :
7377333
Link To Document :
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