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