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UBC UOSTYPED: Regression for Typedsimilarity, Eneko Agirre, Nikolaos Aletras, Aitor GonzalezAgirre, German Rigau and Mark Stevenson. The Second Joint Conference on Computational Linguistics, *SEM, Atlanta, Georgia, June 1314 2013
We approach the typedsimilarity task using a range of heuristics that rely on information from the appropriate metadata fields for each type of similarity. In addition we train a linear regressor for each type of similarity. The results indicate that the linear regression is key for good performance. Our best system was ranked third in the task.
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