Never-Ending Multiword Expressions Learning
Alexandre Rondon, Helena de Medeiros Caseli, Carlos Ramisch · 2015
This paper introduces NEMWEL, a system that performs Never-Ending Mul-tiWord Expressions Learning.Instead of using a static corpus and classifier, NEMWEL applies supervised learning on automatically crawled news texts.Moreover, it uses its own results to periodically retrain the classifier, bootstrapping on its own results.In addition to a detailed description of the system's architecture and its modules, we report the results of a manual evaluation.It shows that NEMWEL is capable of learning new expressions over time with improved precision.