UvT: Memory-based pairwise ranking of paraphrasing verbs

Authors:
Sander Wubben
Affiliations:
Tilburg University, The Netherlands
Venue:
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Year:
2010

Citing 4
Cited 1

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"Nut case: what does it mean?": understanding semantic relationship between nouns in noun compounds through paraphrasing and ranking the paraphrases

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Abstract

In this paper we describe Mephisto, our system for Task 9 of the SemEval-2 workshop. Our approach to this task is to develop a machine learning classifier which determines for each verb pair describing a noun compound which verb should be ranked higher. These classifications are then combined into one ranking. Our classifier uses features from the Google N-gram Corpus, WordNet and the provided training data.