Efficient Text Summarization for Web Browsing On Mobile Devices

1 Centre of Human Language Technology and Bioinformatics, University of Beira Interior, Portugal, email: [email protected] 2 Centre of Human Language Technology and Bioinformatics, University of Beira Interior, Portugal, email: [email protected] Abstract. In this paper, we propose an automatic summarization server-based architecture for web browsing on handheld devices. In particular, we introduce different efficient methods for summarizing parts of web pages in real-time. Two main approaches have already been proposed in the literature. First, some methodologies such as [1] [5] use simple summarization techniques to produce results in real-time but clearly lack linguistic treatment for reliable content visualization. Second, some works apply linguistic processing and rely on ad hoc heuristics [2] to produce compressed contents but can not be used in real-time environment. As a consequence, we propose a new architecture for summarizing Semantic Textual Units [1] based on efficient algorithms for linguistic treatment that allow real-time processing and deeper linguistic analysis of web pages, thus allowing quality content visualization.