UCD-Goggle: A Hybrid System for Noun Compound Paraphrasing
Guofu Li, Alejandra Lopez-Fernandez, Tony Veale · 2010
This paper addresses the problem of ranking a list of paraphrases associated with a noun-noun compound as closely as possible to human raters (Butnariu et al., 2010). UCD-Goggle tackles this task using semantic knowledge learnt from the Google n-grams together with human-preferences for paraphrases mined from training data. Empirical evaluation shows that UCD-Goggle achieves 0.432 Spearman correlation with human judgments.