Improving Grammar Learning Using Seed-Sets
نویسندگان
چکیده
Probabilistic Context-Free Grammars have been unsuccessful in learning natural language, due to the complexity of the task. Considerable research has been conducted into methods of reducing the complexity of PCFG learning. This paper reports the progress of work in extending one particular method of constraining PCFG learning providing partial grammars to improve rule generation. We discuss what makes a good initial grammar, and methods of learning such grammars from local co-occurrence information.
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