Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a recursive neural network (RNN) model that works on a syntactic tree. Our model differs from previous RNN models in that the model allows for an explicit ighting of important phrases for the target task.  also propose to average parameters in training. Our experimental results on semantic relation classification show that both phrase categories and task-specific ighting significantly improve the prediction accuracy of the model.  also show that averaging the model parameters is effective in stabilizing the learning and improves generalization capacity. The proposed model marks scores competitive with state-of-the-art RNN-based models.
['Kazuma Hashimoto', 'Makoto Miwa', 'Yoshimasa Tsuruoka', 'Takashi Chikayama']
I am writing a research paper on a idea Simple Customization of Recursive Neural Networks for Semantic Relation Classification
[{"from": "human", "value": "I am writing a research paper on a idea Simple Customization of Recursive Neural Networks for Semantic Relation Classification"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a recursive neural network (RNN) model that works on a syntactic tree. Our model differs from previous RNN models in that the model allows for an explicit ighting of important phrases for the target task.  also propose to average parameters in training. Our experimental results on semantic relation classification show that both phrase categories and task-specific ighting significantly improve the prediction accuracy of the model.  also show that averaging the model parameters is effective in stabilizing the learning and improves generalization capacity. The proposed model marks scores competitive with state-of-the-art RNN-based models."}]