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In this paper we use various methods for multiple neural network combination in tasks of prepo- sitional phrase attachment. Experiments with aggregation functions such as unweighted and weighted average, OWA …...

We evaluate empirically a scheme for combining classifiers, known as stacked generalization, in the context of anti-spam filtering, a novel cost-sensitive application of text categorization. Unsolicited commercial e- mail, or …...

In this paper, we propose a method for learning a classifier which combines out- puts of more than one Japanese named entity extractors. The proposed combi- nation method belongs to …...

This paper describes the details of our sys- tem submitted to the SemEval 2015 shared task on sentiment analysis of figurative lan- guage on Twitter. We tackle the problem as …...

A major opportunity for NLP to have a real- world impact is in helping educators score stu- dent writing, particularly content-based writ- ing (i.e., the task of automated short answer …...

This paper describes the participation of the team “TwiSE” in the SemEval 2016 challenge. Specifically, we participated in Task 4, namely “Sentiment Analysis in Twitter” for which we implemented sentiment …...