Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Syntactic features are useful for many text classification tasks. Among these, tree kernels (Collins and Duy, 2001) have been perhaps the most robust and eective syntactic tool, appealing for their empirical success, but also because they do not require an ansr to the dicult question of which tree features to use for a given task.  compare tree kernels to dierent explicit sets of tree features on five diverse tasks, and find that explicit features often perform as ll as tree kernels on accuracy and always in orders of magnitude less time, and with smaller models. Since explicit features are easy to generate and use (with publicly available tools),  suggest they should always be included as baseline comparisons in tree kernel method evaluations.
['Matt Post', 'Shane Bergsma']
I am writing a research paper on a idea Explicit and Implicit Syntactic Features for Text Classification
[{"from": "human", "value": "I am writing a research paper on a idea Explicit and Implicit Syntactic Features for Text Classification"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Syntactic features are useful for many text classification tasks. Among these, tree kernels (Collins and Duy, 2001) have been perhaps the most robust and eective syntactic tool, appealing for their empirical success, but also because they do not require an ansr to the dicult question of which tree features to use for a given task.  compare tree kernels to dierent explicit sets of tree features on five diverse tasks, and find that explicit features often perform as ll as tree kernels on accuracy and always in orders of magnitude less time, and with smaller models. Since explicit features are easy to generate and use (with publicly available tools),  suggest they should always be included as baseline comparisons in tree kernel method evaluations."}]