This paper presents a fully operational real-time event extraction system which is capable of accurately and efficiently extracting violent and natural disaster events from vast a...
Martin Atkinson, Jakub Piskorski, Bruno Pouliquen,...
This paper presents a real-world application for assisting medical diagnosis and drug prescription, which relies on the exclusive use of machine learning techniques. We have autom...
The existence of two scripts for Punjabi language has created a script barrier between the Punjabi literature written in India and Pakistan. This research has developed a new syst...
In this paper, we will describe a search tool for a huge set of ngrams. The tool supports queries with an arbitrary number of wildcards. It takes a fraction of a second for a sear...
Metaphor understanding in Computational Linguistics has largely been focused on the development of stand-alone prototypes for which only small-scale evaluations are carried out. T...
We present a complete system that generates Japanese stand-up comedy. Different modules generating different types of jokes are tied together into a performance where all jokes ar...
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
Multilinguality in ontologies has become an impending need for institutions worldwide with valuable linguistic resources in different natural languages. Since most ontologies are ...
Elena Montiel-Ponsoda, Guadalupe Aguado de Cea, As...
In this paper, we describe a preliminary study for a discourse based opinion categorization and propose a new annotation schema for a deep contextual opinion analysis using discou...
Nicholas Asher, Farah Benamara, Yvette Yannick Mat...