Socially, hand-held devices are becoming ubiquitous; technologically, they are already in a position to mediate access to on-line news. We argue that current frameworks for news delivery to hand-helds, typically involving transcoding methods by remote proxies layered over generic summarisation techniques are not well suited to the task. This work addresses two questions in this context: the spe...

News comment is a new text genre in the Web 2.0 era. Many people often write comments to express their opinions about recent news events or topics after they read news articles. Because news comments are freely written without checking, they are very different from formal news texts. In particular, named entities in news comments are usually composed of some wrongly written words, informal abbr...

Global rule induction technique has been successfully used in information extraction (IE) from text documents. In this paper, we employ global rule induction technique to perform information extraction from news video documents. We divide our framework into two levels: shot; and story levels. We use a hybrid algorithm to classify each input video shot into one of the predefined genre types and ...

Acknowledging the limitations of your own research is rhetorically challenging, and especially for those aiming to publish in a second language. This paper hypothesizes that part challenge may be due cross-cultural differences way these potentially self-damaging statements are managed RA discussion and/or other closing (DC) sections. Adopting an intercultural rhetoric approach, I drew two sub-s...

We present a comparative study on sentence boundary prediction for German and English broadcast news that explores generalization across different languages. In the feature extraction stage, word pause duration is firstly extracted from word aligned speech, and forward and backward language models are utilized to extract textual features. Then a gradient boosted machine is optimized by grid sea...

Every day there is an abundance of information broadcasted by all the news networks of the world. An automatic news story tracking system could watch all broadcasted news and track the stories in which we are interested in. In this thesis, a novel approach to news story tracking is investigated. We have designed a system for adaptive video news story tracking based on the Earth Mover’s Distance...

Online content providers, like news portals and social media platforms, constantly seek new ways to attract large shares of online attention by keeping their users engaged. A common challenge is to identify which aspects of online interaction influence user engagement the most. In this article, through an analysis of a news article collection obtained from Yahoo! News, we demonstrate that news ...

We present results from evaluations of an automatic text summarization technique that uses a combination of Random Indexing and PageRank. In our experiments we use two types of texts: news paper texts and government texts. Our results show that text type as well as other aspects of texts of the same type influence the performance. Combining PageRank and Random Indexing provides the best results...