This paper introduces a new method for identifying candidate phrasal terms (also known as multiword units) which applies a nonparametric, rank-based heuristic measure. Evaluation of this measure, the mutual rank ratio metric, shows that it produces better results than standard statistical measures when applied to this task.
In REF , the author introduced a nonparametric model that can extract phrasal terms based on the mutual rank relation.
A Nonparametric Method For Extraction Of Candidate Phrasal Terms
Annual Meeting Of The Association For Computational Linguistics
Computer Science