Exploring Key Phrases for Browsing an Online News Feed in a Mobile Context

This paper describes ongoing work on how to automatically identify and use key phrases extracted from items of a news feed available on the Internet. These phrases are used for two dierent tasks: users of mobile devices (e.g., cellular phones and personal digital assistants) will be able to subscribe to news in dierent categories, where the categorisation of the news is based on the extracted phrases; and by browsing through small portions of the news items | the phrases | a user can decide whether an item is interesting without having to download the whole text.