Automated summarization methods can be defined as "language-independent," if they are not based on any languagespecific knowledge. Such methods can be used for multiling...
In a new approach to large-scale extraction of facts from unstructured text, distributional similarities become an integral part of both the iterative acquisition of high-coverage...
Marius Pasca, Dekang Lin, Jeffrey Bigham, Andrei L...
This paper proposes an approach of extracting simple and effective features that enhances multilingual document ranking (MLDR). There is limited prior research on capturing the co...
We investigate independent and relevant event-based extractive mutli-document summarization approaches. In this paper, events are defined as event terms and associated event eleme...
Many approaches have been proposed for reasoning based on conflicting information in general and in particular on stratified knowledge bases, i.e. bases in which all pieces of i...