The aim of our work is to provide support for reading (or skimming) scientific papers. In this paper we report on the task to identify concepts or terms with positive attributions in scientific papers. This task is challenging as it requires the analysis of the relationship between a concept or term and its sentiment expression. Furthermore, the context of… (More)
In layout design nding eeciently good solutions to the hypergraph bipartitioning problem is of great importance. This paper introduces a new algorithm, the dynamic locking algorithm, which has empirically shown a signiicant improvement in the partitioning result compared to known algorithms.
This paper introduces a new method for the rapid development of complex rule bases involving cue phrases for the purpose of classifying text segments. The method is based on Ripple-Down Rules, a knowledge acquisition method that proved very successful in practice for building medical expert systems and does not require a knowledge engineer. We implemented… (More)
The development of highly eeective heuristics for search problems is a diicult and time-consuming task. We present a knowledge acquisition approach to incrementally model expert search processes. Though, experts do not normally have introspective access to that knowledge , their explanations of actual search considerations seems very valuable in… (More)
Our research aims at interactive document viewers that can select and highlight relevant text passages on demand. Another related objective is the generation of topic-specific summaries of texts as opposed to general purpose summaries. This paper introduces our notions of <i>discourse structure tree</i> and <i>level-of-detail tree</i>. Both structures are… (More)