| Adding Linguistic Knowledge to the Monte-Carlo Framework | As shown in Figure 2, our model is a four layer neural network . |
| Adding Linguistic Knowledge to the Monte-Carlo Framework | The third feature layer f of the neural network is deterministically computed given the active units 3/, and zj of the softmax layers, and the values of the input layer. |
| Adding Linguistic Knowledge to the Monte-Carlo Framework | In the second layer of the neural network , the units 23’ represent a predicate labeling (5;- of every sentence yz- E d. However, our intention is to incorporate, into action-value function Q, information from only the most relevant sentence. |
| Introduction | We employ a multilayer neural network where the hidden layers represent sentence relevance and predicate parsing decisions. |