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Neural Network based Deep Transfer Learning for Cross-domain Dependency Parsing
[article]
2019
arXiv
pre-print
In this paper, we describe the details of the neural dependency parser sub-mitted by our team to the NLPCC 2019 Shared Task of Semi-supervised do-main adaptation subtask on Cross-domain Dependency Parsing. Our system is based on the stack-pointer networks(STACKPTR). Considering the im-portance of context, we utilize self-attention mechanism for the representa-tion vectors to capture the meaning of words. In addition, to adapt three dif-ferent domains, we utilize neural network based deep
arXiv:1908.02895v1
fatcat:4cb2dmbgubfdhlcybqh22olvwi