Multi-view and multi-task training of RST discourse parsers
Published in
International Conference on Computational Lingu...(2016)External Links:
TL
TL;DR
It is shown that a simple LSTM sequential discourse parser takes advantage of this multi-view and multi-task framework with 12-15% error reductions over the authors' baseline and results that rival more complex state-of-the-art parsers.