Generating Conference Call-for-Papers using Stacked Long Short-Term Memory Neural Networks

Bálint Antal, Attila Csikász-Nagy, Rafael E. Carazo Salas

Abstract: In this paper, we describe a novel approach to generate conference call-for-papers using Natural Language Processing and Long Short-Term Memory network. The approach has been successfully evaluated on a publicly available dataset.

TL;DR: Generating conference Call-for-Papers using a Stacked LSTM network leads to interesting results.

Conflicts: inf.unideb.hu

Keywords: Natural language processing, Deep learning, Applications