Supervised methods for extractive speech summarization require a large training set. Summary annotation is often expensive and time consuming. In this paper, we exploit semi-supervised approaches to leverage unlabeled data. In particular, we investigate co-training for the task of extractive meeting summarization. Compared with text summarization, speech summarization task has its unique charac...

Semantic Search emerged as the new system paradigm in enterprise information systems. However, usually only small amounts of textual enterprise data is semantically prepared for such systems. The manual semantification of these resources typically is a time-consuming process. The automatic semantification requires deep knowledge in Natural Language Processing. Therefore, in this paper we presen...

Analyzing data collected in empirical visualization experiments is a time consuming task. In order to support visualization designers analyzing the data collected during such experiments, we intend to develop an analysis model. This analysis model will automatically choose appropriate visual analysis methods according to an analysis task to evaluate a new visualization technique. We will contri...

In this paper we try to answer the question how cross-lingual evidence may improve matching between di erent classi cation schemas. We concentrate speci cally on the task of mapping between Wikipedia categories and Cyc terms as well as the classi cation of Wikipedia articles to the Cyc taxonomy and show how this process may be improved by consuming the evidence that is available in di erent edi...

Structurally assigning a protein by 2D NMR is a very time consuming and error prone task if done manually. ASSASSIN has been developed to help automate this task by making use of the constraint logic programming language CHIP. There are two separate modules, or agents. The first module concentrates on the detailed analysis of the spectra while the second reviews the current structural models an...

 Legal texts usually have a complex structure and reading through them is a time-consuming and strenuous task. Hence it is essential to provide the legal practitioners a concise representation of the text. Catchphrases are those phrases which state the important issues present in the text, thus effectively characterizing it. This paper proposes an approach for the subtask 1 of the task IRLed (...

An uncertain version of the task scheduling problem on unrelated machines to minimize the total flow time is considered. It is assumed that processing times are not known a priori, but they belong to intervals of known bounds. The absolute regret is applied to evaluate the uncertainty, and minmax regret task scheduling problem is solved. A simple 2-approximate middle intervals time efficient al...

Cell nuclei detection in fluorescent microscopic images is an important and time consuming task for a wide range of biological applications. Blur, clutter, bleed through and partial occlusion of nuclei make this a challenging task for automated detection of individual nuclei using image analysis. This paper proposes a novel and robust detection method based on the active contour framework. The ...