Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   propose a novel two-step procedure to recognize textual entailment. Firstly,  build a joint Restricted Boltzmann Machines (RBM) layer to learn the joint representation of the text-hypothesis pairs. Then the reconstruction error is calculated by comparing the original representation with reconstructed representation derived from the joint layer for each pair to recognize textual entailment. The joint RBM training data is automatically generated from a large news corpus. Experiment results show the contribution of the idea to the performance on textual entailment.
['Chen Lyu', 'Yanan Lu', 'Donghong Ji', 'Bo Chen']
I am writing a research paper on a idea Deep Learning for Textual Entailment Recognition
[{"from": "human", "value": "I am writing a research paper on a idea Deep Learning for Textual Entailment Recognition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   propose a novel two-step procedure to recognize textual entailment. Firstly,  build a joint Restricted Boltzmann Machines (RBM) layer to learn the joint representation of the text-hypothesis pairs. Then the reconstruction error is calculated by comparing the original representation with reconstructed representation derived from the joint layer for each pair to recognize textual entailment. The joint RBM training data is automatically generated from a large news corpus. Experiment results show the contribution of the idea to the performance on textual entailment."}]