Integrating Verbal Idioms into an NLP System

This paper describes the integration of verbal idioms into an Natural Language Processing (NLP) system, adopting a construction approach, which is based on the prior parsing stage, so that these MultiWord Expressions (MWE) can be taken into account in subsequent tasks, such as semantic role labeling or whole-part relation extraction. The paper focuses on body-part nouns, which are often part of many verbal idioms, and uses a manually annotated corpus to evaluate its parsing strategy. Results showed a precision of 0.92, 0.83 recall, 0.87 f-measure and an accuracy 0.99.