Feature Weight Tuning for Recursive Neural Networks
Table 3: The performance of proposed approaches compared with other methods on Stanford sentiment treebank dataset. Baseline performances are reported from [2, 17].
['Model', 'Fine-grained', 'Coarse-grained']
As can be seen, the proposed approach slightly underperforms current state-of-art performance achieved by paragraph vector but outperforms all the other versions of recursive neural models, indicating the adding “weight tuning” parameters indeed leads to better compositionally.