Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study the problem of combining the outcomes of several different classifiers in a way that provides a coherent inference that satisfies some constraints. In particular,  develop two general approaches for an important subproblem - identifying phrase structure. The first is a Markovian approach that extends standard HMMs to allow the use of a rich observation structure and of general classifiers to model state-observation dependencies. The second is an extension of constraint satisfaction formalisms.  develop efficient combination algorithms under both models and study them experimentally in the context of shallow parsing.
['Vasin Punyakanok', 'Dan Roth']
I am writing a research paper on a idea The Use of Classifiers in Sequential Inference
[{"from": "human", "value": "I am writing a research paper on a idea The Use of Classifiers in Sequential Inference"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study the problem of combining the outcomes of several different classifiers in a way that provides a coherent inference that satisfies some constraints. In particular,  develop two general approaches for an important subproblem - identifying phrase structure. The first is a Markovian approach that extends standard HMMs to allow the use of a rich observation structure and of general classifiers to model state-observation dependencies. The second is an extension of constraint satisfaction formalisms.  develop efficient combination algorithms under both models and study them experimentally in the context of shallow parsing."}]