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

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

Invalid Date (modified: Feb 17, 2017) ICLR 2017 workshop submission readers: everyone
  • 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.
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  • Keywords: Natural language processing, Deep learning, Applications
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