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Automatic Extraction of Subcategorization from Corpora

机译:自动从语料库中提取子类别

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摘要

We describe a novel technique and implemented system for constructing a subcategorization dictionary from textual corpora. Each dictionary entry encodes the relative frequency of occurrence of a comprehensive set of subcategorization classes for English. An initial experiment, on a sample of 14 verbs which exhibit multiple complementation patterns, demonstrates that the technique achieves accuracy comparable to previous approaches, which are all limited to a highly restricted set of subcategorization classes. We also demonstrate that a subcategorization dictionary built with the system improves the accuracy of a parser by an appreciable amount.
机译:我们描述了一种从文本语料库构建子分类词典的新颖技术和实现的系统。每个词典条目都对英语的一组全面的子分类类的相对出现频率进行编码。最初的实验以14个动词为样本,这些动词表现出多种补语模式,表明该技术可实现与以前的方法相当的准确性,而以前的方法都限于高度受限的子类别类别。我们还演示了使用该系统构建的子类别字典可以将解析器的准确性提高相当数量。

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