Title
《Supertagging with LSTMs》
LSTM框架


[^LSTM中有三个门电路进行控制,门电路输出为1时门电路打开,反之关闭。]: 相比于Nerual Network,LSTM相当于外接四个电路进行输入,每次输入都对两个输入进行权值的加权运算。最后得出output
Abstract
In this paper we present new state-of-the-art performance on CCG supertagging and parsing.We analyze the performance of several neural models and demonstrate that while feed-forward architectures can compete with bidirectional LSTMs on POS tagging, models that encode the complete sentence are necessary for the long range syntactic information encoded in supertags.