Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes a framework of supervised model learning that realizes feature grouping to obtain lor complexity models. The main idea of our method is to integrate a discrete constraint into model learning with the help of the dual decomposition technique. Experiments on two ll-studied NLP tasks, dependency parsing and NER, demonstrate that our method can provide state-of-the-art performance even if the degrees of freedom in trained models are surprisingly small, i.e., 8 or even 2. This significant benefit enables us to provide compact model representation, which is especially useful in actual use.
['Jun Suzuki', 'Masaaki Nagata']
I am writing a research paper on a idea Supervised Model Learning with Feature Grouping based on a Discrete Constraint
[{"from": "human", "value": "I am writing a research paper on a idea Supervised Model Learning with Feature Grouping based on a Discrete Constraint"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes a framework of supervised model learning that realizes feature grouping to obtain lor complexity models. The main idea of our method is to integrate a discrete constraint into model learning with the help of the dual decomposition technique. Experiments on two ll-studied NLP tasks, dependency parsing and NER, demonstrate that our method can provide state-of-the-art performance even if the degrees of freedom in trained models are surprisingly small, i.e., 8 or even 2. This significant benefit enables us to provide compact model representation, which is especially useful in actual use."}]