Abstract This paper presents a method for combining query-relevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR...
In this paper, we present a new technique for estimating an arbitrary skew angle using a simple and efficient text row accumulation based on the statistics of the 1st and 2nd orde...
Successful applications of digital libraries require structured access to sources of information. This paper presents an approach to extract the logical structure of text document...
Digital libraries can take advantage of documents that have their content (semantics) explicitly represented as knowledge structures. These knowledge-rich documents can be created ...
This paper presents a system that combines two text mining techniques; information extraction and clustering. A rulebased approach is used to perform the information extraction tas...