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Journal ArticleDOI

NewsInEssence: summarizing online news topics

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TLDR
A news delivery and summarization system, acting as a user's agent, gathers and recaps news items based on specifications and interests.
Abstract
A news delivery and summarization system, acting as a user's agent, gathers and recaps news items based on specifications and interests.

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Book

Automatic Summarization

TL;DR: The challenges that remain open, in particular the need for language generation and deeper semantic understanding of language that would be necessary for future advances in the field are discussed.
Proceedings ArticleDOI

NewsCube: delivering multiple aspects of news to mitigate media bias

TL;DR: This paper presents NewsCube, a novel Internet news service aiming at mitigating the effect of media bias, which is the first to develop a news service as a solution and study its effect.
Proceedings ArticleDOI

Trains of thought: generating information maps

TL;DR: This work proposes a methodology for creating structured summaries of information, which is able to produce maps which help users acquire knowledge efficiently and integrates user interaction into the framework, allowing users to alter the maps to better reflect their interests.
Journal ArticleDOI

Text Mining in Organizational Research

TL;DR: How text mining may extend contemporary organizational research by allowing the testing of existing or new research questions with data that are likely to be rich, contextualized, and ecologically valid is described.
References
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Book

Cohesion in English

TL;DR: This book studies the cohesion that arises from semantic relations between sentences, reference from one to the other, repetition of word meanings, the conjunctive force of but, so, then and the like are considered.
Proceedings ArticleDOI

Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies

TL;DR: A multi-document summarizer, called MEAD, is presented, which generates summaries using cluster centroids produced by a topic detection and tracking system and two new techniques, based on sentence utility and subsumption, are described.
Posted Content

Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies

TL;DR: This article presented a multi-document summarizer, called MEAD, which generates summaries using cluster centroids produced by a topic detection and tracking system, and also described two new techniques, based on sentence utility and subsumption, which have applied to the evaluation of both single and multiple document summaries.
Proceedings ArticleDOI

Generating summaries of multiple news articles

TL;DR: A natural language system which summarizes a series of news articles on the same event by using summarization operators from the output of the systems developed for ARPA’s Message Understanding Conferences.
Proceedings Article

Tracking and summarizing news on a daily basis with Columbia's Newsblaster

TL;DR: Columbia's Newsblaster system for online news summarization is presented, a system that crawls the web for news articles, clusters them on specific topics and produces multidocument summaries for each cluster.
Trending Questions (1)
What is the online news act?

The provided paper does not mention anything about the "online news act."