AMR Parsing using Stack-LSTMs

EMNLP 2017 Miguel BallesterosYaser Al-Onaizan

We present a transition-based AMR parser that directly generates AMR parses from plain text. We use Stack-LSTMs to represent our parser state and make decisions greedily... (read more)

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