The current expansion in collections of natural language based digital documents in various media and languages is creating challenging opportunities for automatically accessing t...
Much information that could help solve and prevent crimes is never gathered because the reporting methods available to citizens and law enforcement personnel are not optimal. Dete...
Abstract. We present a novel approach to incorporating semantic information to the problems of natural language processing, in particular to the document classification task. The ...
Filip Ginter, Sampo Pyysalo, Jorma Boberg, Jouni J...
Convolution kernels, such as sequence and tree kernels, are advantageous for both the concept and accuracy of many natural language processing (NLP) tasks. Experiments have, howev...
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...