The application of the collective intelligence (CI) concept has yielded significant results in
many knowledge areas and it has substantial potential to yield results in the educational …

The automation of fake news detection is the focus of a great deal of scientific research. With
the rise of social media over the years, there has been a strong preference for users to be …

Mining social web text has been at the heart of the Natural Language Processing and Data
Mining research community in the last 15 years. Though most of the reported work is on …

The rapid development of network services has led to the exponential growth of online
information and the increasing number of social media users. These services are exploited …

Recent progress in semantic parsing scarcely considers languages other than English but
professional translation can be prohibitively expensive. We adapt a semantic parser trained …

Online collaborative translation experienced a meteoric rise in the e first decade of the 20th
century thanks to the affordances provided by the Web 2.0. Two distinct models emerged …

A language independent deep learning (DL) architecture for machine translation (MT)
evaluation is presented. This DL architecture aims at the best choice between two MT (S1 …

The limited availability of in-domain training data is a major issue in the training of
application-specific neural machine translation models. Professional outsourcing of bilingual …

Names: Filimowicz, Michael, editor.| Tzankova, Veronika, editor. Title: Reimagining
communication: action/edited by Michael Filimowicz and Veronika Tzankova. Description …

The automatic evaluation of machine translation (MT) has proven to be a very significant
research topic. Most automatic evaluation methods focus on the evaluation of the output of …