This paper presents a novel system E3 for extracting keyphrases from news
content for the purpose of offering the news audience a broad overview of news
events, with especially high content volume. Given an input query, E3 extracts
keyphrases and enrich them by tagging, ranking and finding role for frequently
associated keyphrases. Also, E3 finds the novelty and activeness of keyphrases
using news publication date, to identify the most interesting and informative
keyphrases