Data about everything is readily available on the web—but often only accessible through elaborate user interactions. For automated decision support, extracting that data is esse...
Andrew Jon Sellers, Tim Furche, Georg Gottlob, Gio...
This work aims to provide a novel, site-specific web page segmentation and section importance detection algorithm, which leverages structural, content, and visual information. The...
This paper presents a novel method for the classification of images that combines information extracted from the images and contextual information. The main hypothesis is that con...
Extractive text summarization aims to create a condensed version of one or more source documents by selecting the most informative sentences. Research in text summarization has th...
Abstract: In this paper we describe a flexible, portable and languageindependent infrastructure for setting up large monolingual language corpora. The approach is based on collecti...
Christian Biemann, Stefan Bordag, Gerhard Heyer, U...