Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task

CONLL 2017 Timothy DozatPeng QiChristopher D. Manning

This paper describes the neural dependency parser submitted by Stanford to the CoNLL 2017 Shared Task on parsing Universal Dependencies. Our system uses relatively simple LSTM networks to produce part of speech tags and labeled dependency parses from segmented and tokenized sequences of words... (read more)

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