DocumentCode :
3639259
Title :
Named Entity Recognition from Turkish texts
Author :
Faik Erdem Dalkılıç;Semih Gelişli;Banu Diri
Author_Institution :
Bilgisayar Mü
fYear :
2010
Firstpage :
918
Lastpage :
920
Abstract :
Named Entity Recognition is an important subject of Natural Language Processing and is used to classify proper nouns into different types such as person, location and organization names in addition to formula, date and money definitions. Rule Based Named Entity Recognition means defining rules to classify named entities in a text through using lexical resources and creating patterns. This study focuses on classification of proper nouns into three types including person, location and organization names regardless of the subject of text.
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th
ISSN :
2165-0608
Print_ISBN :
978-1-4244-9672-3
Type :
conf
DOI :
10.1109/SIU.2010.5653553
Filename :
5653553
Link To Document :
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