A Uniform Method of Grammar Extraction and Its Applications
作者： Fei Xia , Martha Palmer , Aravind Joshi , None
关键词: Artificial intelligence 、 Computer science 、 Grammar 、 L-attributed grammar 、 Core (graph theory) 、 Natural language processing 、 Programming language 、 Rule-based machine translation
摘要: Grammars are core elements of many NLP applications. In this paper, we present a system that automatically extracts lexicalized grammars from annotated corpora. The data produced by have been used in several tasks, such as training tools (such Supertaggers) and estimating the coverage hand-crafted grammars. We report experimental results on two those tasks compare our approaches with related work.
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