Welcome to the InfoSci Platform
News Headline Building using Hybrid Headline Generation Technique for Quick Gist

News Headline Building using Hybrid Headline Generation Technique for Quick Gist

Urmila Shrawankar, Kranti Wankhede
Copyright: © 2017 |Volume: 6 |Issue: 1 |Pages: 17
ISSN: 1947-928X|EISSN: 1947-9298|EISBN13: 9781522513490|DOI: 10.4018/IJNCR.2017010103
Cite Article Cite Article

MLA

Shrawankar, Urmila, and Kranti Wankhede. "News Headline Building using Hybrid Headline Generation Technique for Quick Gist." IJNCR vol.6, no.1 2017: pp.36-52. http://doi.org/10.4018/IJNCR.2017010103

APA

Shrawankar, U. & Wankhede, K. (2017). News Headline Building using Hybrid Headline Generation Technique for Quick Gist. International Journal of Natural Computing Research (IJNCR), 6(1), 36-52. http://doi.org/10.4018/IJNCR.2017010103

Chicago

Shrawankar, Urmila, and Kranti Wankhede. "News Headline Building using Hybrid Headline Generation Technique for Quick Gist," International Journal of Natural Computing Research (IJNCR) 6, no.1: 36-52. http://doi.org/10.4018/IJNCR.2017010103

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

A considerable amount of time is required to interpret whole news article to get the gist of it. Therefore, in order to reduce the reading and interpretation time, headlines are necessary. The available techniques for news headline construction mainly includes extractive and abstractive headline generation techniques. In this paper, context based news headline is formed from long news article by using techniques of core Natural Language Processing (NLP) and key terms of news article. Key terms are retrieved from lengthy news article by using various approaches of keyword extraction. The keyphrases are picked out using Keyphrase Extraction Algorithm (KEA) which helps to construct headline syntax along with NLP's parsing technique. Sentence compression algorithm helps to generate compressed sentences from generated parse tree of leading sentences. Headline helps user for reducing cognitive burden of reader by reflecting important contents of news. The objective is to frame headline using key terms for reducing reading time and efforts of reader.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.