DocumentCode :
3698665
Title :
Extracting phrase-content pairs for Turkish sentences
Author :
İlknur Dönmez;Eşref Adali
Author_Institution :
Department of Computer Engineering, İ
fYear :
2015
Firstpage :
128
Lastpage :
132
Abstract :
In this paper we present a framework for extraction of Turkish phrases and their concepts. The objective of the study is meeting the requirement of sources for Turkish Semantic Extractions and represent a Turkish sentence at phrase-concept level. The semantic and grammatical analysis of a sentence is a basic content of Natural Language Processing (NLP) which is a branch of Artificial Intelligence (AI). In our study Turkish Phrase-Content Finding system is formed as a source for the other application areas in NLP. This system can be used in Summarization Systems, Information Extraction, Automatic Question Answering System, Semantic Role Labeling, and other semantic application.
Keywords :
"Semantics","Accuracy","Labeling","Compounds","Information retrieval","Instruments","Animals"
Publisher :
ieee
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2015 9th International Conference on
Print_ISBN :
978-1-4673-6855-1
Type :
conf
DOI :
10.1109/ICAICT.2015.7338531
Filename :
7338531
Link To Document :
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