用法语语法词典聚类动词，提升概率语法解析器性能

French parsing enhanced with a word clustering method based on a syntactic lexicon

• 基于语法词典对法语树库动词进行聚类
• 在基于PCFG的解析器上达到高准确率
• 适合自然语言处理与语法分析研究者

本文评估了将法语语法词典（Lexicon-Grammar，Gross, 1994）提取的数据整合进概率解析器的效果。通过在法语树库（French Treebank，Abeillé et al., 2003）的动词上应用聚类方法，我们发现基于概率上下文无关语法（PCFG，Petrov et al., 2006）的解析器在法语上实现了高准确率。

原文摘要 · Abstract (English)

This article evaluates the integration of data extracted from a French syntactic lexicon, the Lexicon-Grammar (Gross, 1994), into a probabilistic parser. We show that by applying clustering methods on verbs of the French Treebank (Abeillé et al., 2003), we obtain accurate performances on French with a parser based on a Probabilistic Context-Free Grammar (Petrov et al., 2006).

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