Quantifier Scope Disambiguation Using Extracted Pragmatic Knowledge: Preliminary Results.

EMNLP '09: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3(2009)

引用 13|浏览18
暂无评分
摘要
It is well known that pragmatic knowledge is useful and necessary in many difficult language processing tasks, but because this knowledge is difficult to acquire and process automatically, it is rarely used. We present an open information extraction technique for automatically extracting a particular kind of pragmatic knowledge from text, and we show how to integrate the knowledge into a Markov Logic Network model for quantifier scope disambiguation. Our model improves quantifier scope judgments in experiments.
更多
查看译文
关键词
pragmatic knowledge,Markov Logic Network model,difficult language processing task,quantifier scope disambiguation,quantifier scope judgment,open information extraction technique,particular kind,Quantifier scope disambiguation,preliminary result
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要