Бірінші ретті факторизация

In this paper, we propose a neural network model for graph-based dependency pars- ing which utilizes Bidirectional LSTM (BLSTM) to capture richer contextual in- formation instead of using high-order fac- …...

AbstractVery recently, some studies on neural dependency parsers have shown advantage over the traditional ones on a wide variety of languages. However, for graph-based neural dependency parsing systems, they either …...