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引用次数: 28
摘要
本文介绍了谓词参数结构的一个框架——GLARF。我们报道了通过自动方法将Penn tree - bank II转换为GLARF,该方法在Penn tree - bank的测试句子上达到了约90%的准确率/召回率。还讨论了手工校正输出语料库的计划,将GLARF扩展到日文以及MT的应用。
This paper introduces GLARF, a framework for predicate argument structure. We report on converting the Penn Treebank II into GLARF by automatic methods that achieved about 90% precision/recall on test sentences from the Penn Treebank. Plans for a corpus of hand-corrected output, extensions of GLARF to Japanese and applications for MT are also discussed.