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...
Abstract. The need of the current Natural Language Processing applications to identify text segments that express the same meaning in different ways, evolved into the identificatio...
Short texts clustering is one of the most difficult tasks in natural language processing due to the low frequencies of the document terms. We are interested in analysing these kind...
Diego Ingaramo, David Pinto, Paolo Rosso, Marcelo ...
This paper describes a case study on application of natural language processing in very early stages of the requirements engineering. In our previous work [7] we have shown how na...
Graph-based methods have gained attention in many areas of Natural Language Processing (NLP) including Word Sense Disambiguation (WSD), text summarization, keyword extraction and ...