Spring embedding is widely used to draw up networks. However, the readability of network diagrams drawn by using spring embedding is still not good enough. This paper proposes the ...
Current database technologies do not support contextualised representations of multi-dimensional narratives. This paper outlines a new approach to this problem using a multi-dimen...
Abstract. We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Mod...
For our fourth participation in the CLEF evaluation campaigns, our first objective was to propose an effective and general stopword list and a light stemming procedure for the Port...
–This paper is an experimental study on the performance of the two major methods for macro-level similarity measurement: linear weighted merging and logical retrieval. Performanc...