Extracting phrase-content pairs for Turkish sentences
İlknur Dönmez, Eşref Adalı · 2015
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.