Interpreting semantic relations in noun compounds via verb semantics
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Noun Compound Interpretation Using Paraphrasing Verbs: Feasibility Study
AIMSA '08 Proceedings of the 13th international conference on Artificial Intelligence: Methodology, Systems, and Applications
A concept-centered approach to noun-compound interpretation
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
SemEval-2010 task 9: The interpretation of noun compounds using paraphrasing verbs and prepositions
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Using verbs to characterize noun-noun relations
AIMSA'06 Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications
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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.