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- W2073008575 abstract "Human intervention and/or training corpora tagged with various kinds of information were often assumed in many natural language acquisition models. This assumption is a major source of inconsistencies, errors, an d inefficiency in learning. In this paper, we explore the extent to which a parser may extend it-self without relying on extra input from the outside world. A learning technique called SEP is proposed and attached to the parser. The input to SEP is raw sentences, while the output is the knowledge that is missing in the parser. Since parsers and raw sentences are commonly available and no human intervention is needed in learning, SEP could make fully automatic large-scale acquisition more feasible." @default.
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- W2073008575 date "1994-01-01" @default.
- W2073008575 modified "2023-09-26" @default.
- W2073008575 title "A corpus-based learning technique for building a self-extensible parser" @default.
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- W2073008575 doi "https://doi.org/10.3115/991886.991964" @default.
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