Back to Search Start Over

Subject-Keyphrase Extraction Based on Definition-Use Chain

Authors :
Yu-Jung Chang
Ray-I Chang
You-Jyun Wang
Shu-Yu Lin
Jan-Ming Ho
Hung-Min Hsu
Source :
WI-IAT (3)
Publication Year :
2015
Publisher :
IEEE, 2015.

Abstract

In this paper, we propose a new concept called subject-keyphrase and also introduce a method to extract subject-keyphrases from a document. Subject-keyphrases refer to the words or phrases used to represent the sentence subjects of a document, i.e., the content of a document is organized around the subjects of the document. It can be expected that each sentence of a document is composed of a subject and an object, where the subject is defined in relation to its object. Using "definition" and "use" relations, we may thus identify the subjects in a given document by looking for keyphrases which appear frequently as subjects of sentences in the document. We thus present a subject-keyphrase extraction (SKE) algorithm based on the notion of definition-use chain (DU Chain) to identify subject-keyphrases. Experimental results show that SKE can successfully identify the subject-keyphrases to effectively capture the main idea of a document.

Details

Database :
OpenAIRE
Journal :
2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
Accession number :
edsair.doi...........761eba0a81f2b113555c937b9c30821d