Simple and Effective Paraphrastic Similarity from Parallel Translations
Table 2: Comparison of our models with those in the literature and random encoder baselines. Performance is measured in Pearson’s r (%). N refers to the number of examples in the training data. OS stands for OpenSubtitles, EP for Europarl, and MIX for a variety of domains.
['Model', 'Data', '[ITALIC] N', 'Dim.', 'ar-ar', 'ar-en', 'es-es', 'es-en', 'en-en', 'tr-en']
We make several observations. This result outperforms the baselines from the literature as well, all of which use deep architectures. Since that model is based on many-to-many translation, We only train on the splits of interest (en-es for STS and en-de/en-fr for the BUCC tasks) in our experiments.